[feat](trx-rds): improve RDS robustness with 9 DSP techniques
Tech 1: replace one-pole baseband LPF with FIR RRC matched filter (alpha=0.75, 4-chip span) — largest single measured improvement per empirical comparison (gr-rds RRC vs plain FIR: 32/38 vs 18/38 stations). Tech 2: 19 kHz pilot x3 -> 57 kHz coherent carrier reference via the triple-angle formula; fed from the WFM pilot Costas PLL when pilot_lock_level > 0.5, clearing to NCO fallback otherwise. Tech 3/7/8: OSD(2) soft-decision block decoder replaces hard CRC check. Per-bit soft magnitudes accumulated in Candidate::block_soft[26]. decode_block_soft() searches Hamming distance 0/1/2 (352 trials total) and returns the minimum Euclidean-cost valid codeword; ~2-3 dB gain. Tech 4: 8th-order 57 kHz BPF (4 cascaded biquads at Q=5) in wfm.rs replaces the previous single Q=10 biquad; ~6x steeper ACI stopband. Tech 5: Costas loop with tanh soft phase detector drives the RDS carrier NCO when no pilot reference is available (P+I, B_L ~20 Hz). Tech 6: Block A PI field LLR accumulation — signed per-bit LLR summed over 3 independent Block A observations before committing the PI value, correcting weak-signal false locks without delaying strong-signal lock. Tech 9: 8-tap complex CMA blind equalizer applied to IQ samples before FM discrimination; constant-modulus error (|y|^2 - R^2) drives tap adaptation without a training sequence, suppressing adjacent-channel interference at the source. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> Signed-off-by: Stan Grams <sjg@haxx.space>
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@@ -0,0 +1,137 @@
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# RDS Reception Improvements — WIP
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Research into improving RDS demodulation robustness for two scenarios:
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adjacent channel interference (ACI) and weak signal (low SNR).
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## Signal Pipeline
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```
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Antenna → IF filter → FM discriminator → 57 kHz BPF → Costas PLL →
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Symbol timing → Manchester decode → Biphase decode →
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Block sync → (26,16) FEC → Group assembly
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```
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## Prioritized Implementation Plan
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| # | Technique | Scenario | Complexity | Expected Gain |
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|---|---|---|---|---|
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| 1 | RRC matched filter | ACI | Low | Largest measured (32 vs 18/38 stations in empirical test) |
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| 2 | 19 kHz pilot ×3 → 57 kHz carrier reference | Weak signal | Medium | 3–6 dB carrier phase noise reduction |
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| 3 | Erasure declaration + erasure decoding | Weak signal | Low | 1–3 dB |
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| 4 | 8th-order 57 kHz IIR bandpass filter | ACI | Low | Pre-filters ACI energy before Costas loop |
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| 5 | Costas `tanh` soft phase detector | Weak signal | Trivial | ~1 dB |
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| 6 | LLR accumulation across repeated groups | Weak signal | Low | √N SNR per repetition |
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| 7 | Chase-II soft-decision block decoder | Both | Medium | 1–2 dB |
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| 8 | OSD(2) block decoder | Both | Medium | 2–3 dB over hard-decision |
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| 9 | IF CMA blind equalizer (pre-demodulation) | ACI | High | 7–10 dB ACI protection ratio improvement |
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---
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## Technique Notes
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### 1. RRC Matched Filter
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RDS uses known BPSK pulse shaping per IEC 62106. The receiver should apply a Root Raised
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Cosine (RRC) matched filter rather than a generic FIR lowpass. The 2024 GNU Radio demodulator
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comparison showed RRC-based decoders (Bloessl's gr-rds) decoded 32/38 real stations vs. 18/38
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for plain FIR lowpass filter decoders — the single largest measured improvement.
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- Roll-off factor: 1.0 per standard; experiment with 0.35–0.8 for sharper stopband
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- Operate at 2375 Hz chip rate (Manchester doubles the symbol rate from 1187.5 baud)
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### 2. 19 kHz Pilot ×3 Carrier Reference
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Instead of running a Costas loop autonomously on the noisy 57 kHz subcarrier, multiply the
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clean 19 kHz stereo pilot tone by 3 to produce a phase-coherent 57 kHz reference. The pilot
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sits at much higher SNR than the RDS subcarrier. `redsea`'s own issue tracker identifies this
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as the dominant weak-signal failure mode; patent CN113132039A addresses the same problem.
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Without pilot lock, fall back to a Costas loop with a `tanh` soft phase detector (see #5).
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### 3. Erasure Decoding
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When `|LLR|` for a bit is below a confidence threshold, declare it an **erasure** (known-position
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error) rather than a hard ±1 decision. The (26,16) RDS block code corrects:
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- 5 random bit errors (hard decision)
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- **10 erasures** — 2× improvement at no added decoder complexity
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Requires propagating LLRs from the symbol detector to the syndrome decoder instead of hard
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bits. The Group 0B PI cross-check (PI appears in both Block A and Block C) gives free
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erasure resolution on the most critical field.
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### 4. 8th-Order 57 kHz IIR Bandpass Filter
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Hardware RDS chips (e.g. SAA6579) place an 8th-order bandpass filter at 57 kHz before the
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carrier recovery stage. In software, an equivalent high-order IIR or long FIR centered at
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57 kHz with ±4 kHz passband and steep roll-off attenuates adjacent-channel energy that bleeds
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into the MPX spectrum after FM discrimination. Insert this stage immediately after FM
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demodulation and before the Costas loop.
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### 5. Costas `tanh` Soft Phase Detector
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Replace the hard-slicer phase error `Re(z) * Im(z)` in the Costas loop with
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`tanh(Re(z)/σ) * Im(z)`. This is the ML-derived phase error estimator and approaches the
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Cramér-Rao bound at low SNR. Trivial code change, useful whenever the pilot reference (#2)
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is unavailable.
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### 6. LLR Accumulation Across Repeated Groups
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RDS transmits the same data repeatedly (PI: every group every ~87.6 ms; PS name: ≥5 groups/sec).
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Accumulate per-bit LLRs across N repetitions of the same field before decoding:
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```
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LLR_acc[i] += LLR_n[i] // for known-repeated bit positions
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```
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SNR improves as √N (3 dB per 4× accumulations). With ~11 PI observations per second, 1 second
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of accumulation is feasible before display latency becomes noticeable.
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### 7. Chase-II Soft-Decision Block Decoder
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The Chase-II algorithm generates `2^(2t)` hard-decision decoder trials by flipping the
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`2t` least-reliable bit positions (identified by smallest `|LLR|`), then picks the trial with
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minimum Euclidean metric. For the RDS (26,16) code with t=2: only 4 trials. The 26-bit block
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size makes this extremely fast.
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Expected gain: ~1–2 dB over hard-decision decoding.
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### 8. OSD(2) Block Decoder
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Ordered Statistics Decoding at order 2 approaches ML performance for short linear block codes.
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Procedure for the (26,16) code:
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1. Sort all 26 bit positions by `|LLR|` descending (most to least reliable).
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2. Gaussian-eliminate the 10×26 parity-check matrix to bring the most reliable positions into
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systematic form.
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3. Enumerate order-2 test patterns (all pairs from the least-reliable positions).
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4. Select the minimum Euclidean-metric codeword.
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The matrix is only 10×26 — Gaussian elimination is trivial. Expected gain: ~2–3 dB over
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hard-decision decoding, ~0.5–1.5 dB over Chase-II.
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Reference: Fossorier & Lin, "Soft decision decoding of linear block codes based on ordered
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statistics," IEEE Trans. Inf. Theory, 1995.
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### 9. IF CMA Blind Equalizer
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FM signals are constant-envelope, so the Constant Modulus Algorithm can equalize the IF signal
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without training data, driven by the cost `||s(t)|² - 1|`. A 2004 JSSC paper reports
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**7–10 dB improvement in adjacent channel protection ratio** using a 6th-order blind equalizer
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applied to the digitized IF signal before FM demodulation. This is the most powerful ACI
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technique but requires operating at IF sample rates and handling the full pre-demodulation
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signal. Implement last.
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---
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## Key References
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- [site2241.net 2024 demodulator comparison](https://www.site2241.net/january2024.htm) — empirical RRC vs. FIR data
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- [PySDR RDS end-to-end example](https://pysdr.org/content/rds.html) — complete Costas + M&M + block sync pipeline
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- [gr-rds / Bloessl](https://github.com/alexmrqt/fm-rds) — best-performing open source implementation
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- [redsea CHANGES.md](https://github.com/windytan/redsea/blob/master/CHANGES.md) — real-world weak signal bug history
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- [Fossorier & Lin OSD](https://www.semanticscholar.org/paper/Soft-decision-decoding-of-linear-block-codes-based-Fossorier-Lin/2fde1414cd33dacfb96b7b0d5bbbe74b803704da) — foundational soft decoding for cyclic codes
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- [IEEE: Digital RDS demodulation in FM subcarrier systems (2004)](https://ieeexplore.ieee.org/abstract/document/1412732)
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- [ResearchGate: DSP-based digital IF AM/FM car radio receiver (JSSC 2004)](https://www.researchgate.net/publication/4050364_A_DSP-based_digital_if_AMFM_car-radio_receiver) — CMA equalizer, 7–10 dB ACI improvement
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- [Information-Reduced Carrier Synchronization of BPSK/QPSK](https://www.researchgate.net/publication/254651395_Information-Reduced_Carrier_Synchronization_of_BPSK_and_QPSK_Using_Soft_Decision_Feedback)
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- IEC 62106 (RDS standard), IEC 62634 (receiver measurements)
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+331
-43
@@ -2,19 +2,32 @@
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//
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//
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// SPDX-License-Identifier: BSD-2-Clause
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// SPDX-License-Identifier: BSD-2-Clause
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use std::f32::consts::TAU;
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use std::f32::consts::{PI, SQRT_2, TAU};
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use trx_core::rig::state::RdsData;
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use trx_core::rig::state::RdsData;
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const RDS_SUBCARRIER_HZ: f32 = 57_000.0;
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const RDS_SUBCARRIER_HZ: f32 = 57_000.0;
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const RDS_SYMBOL_RATE: f32 = 1_187.5;
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const RDS_SYMBOL_RATE: f32 = 1_187.5;
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const RDS_PSK_SYMBOL_RATE: f32 = RDS_SYMBOL_RATE * 2.0;
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/// Biphase (Manchester) chip rate: 2× the symbol rate.
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const RDS_CHIP_RATE: f32 = RDS_SYMBOL_RATE * 2.0;
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const RDS_POLY: u16 = 0x1B9;
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const RDS_POLY: u16 = 0x1B9;
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const SEARCH_REG_MASK: u32 = (1 << 26) - 1;
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const SEARCH_REG_MASK: u32 = (1 << 26) - 1;
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const PHASE_CANDIDATES: usize = 8;
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const PHASE_CANDIDATES: usize = 8;
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const BIPHASE_CLOCK_WINDOW: usize = 128;
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const BIPHASE_CLOCK_WINDOW: usize = 128;
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const RDS_BASEBAND_LP_HZ: f32 = 3_000.0;
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/// Minimum quality score to publish RDS state to the outer decoder.
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const MIN_PUBLISH_QUALITY: f32 = 0.45;
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const MIN_PUBLISH_QUALITY: f32 = 0.45;
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/// Tech 6: number of Block A observations before using accumulated PI.
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const PI_ACC_THRESHOLD: u8 = 3;
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/// Tech 5 — Costas loop proportional gain (per sample).
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const COSTAS_KP: f32 = 8e-4;
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/// Tech 5 — Costas loop integral gain (per sample).
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const COSTAS_KI: f32 = 3.5e-7;
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/// Tech 5 — maximum frequency correction per sample (radians).
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const COSTAS_MAX_FREQ_CORR: f32 = 0.005;
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/// Tech 1 — RRC roll-off factor.
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const RRC_ALPHA: f32 = 0.75;
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/// Tech 1 — RRC filter span in chips.
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const RRC_SPAN_CHIPS: usize = 4;
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const OFFSET_A: u16 = 0x0FC;
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const OFFSET_A: u16 = 0x0FC;
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const OFFSET_B: u16 = 0x198;
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const OFFSET_B: u16 = 0x198;
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@@ -22,28 +35,93 @@ const OFFSET_C: u16 = 0x168;
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const OFFSET_CP: u16 = 0x350;
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const OFFSET_CP: u16 = 0x350;
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const OFFSET_D: u16 = 0x1B4;
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const OFFSET_D: u16 = 0x1B4;
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// ---------------------------------------------------------------------------
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// Tech 1: Root Raised Cosine matched filter
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// ---------------------------------------------------------------------------
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/// Computes one tap of an RRC filter impulse response.
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/// `t` is time in units of symbol periods; `alpha` is the roll-off factor.
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fn rrc_tap(t: f32, alpha: f32) -> f32 {
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if t.abs() < 1e-6 {
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return 1.0 - alpha + 4.0 * alpha / PI;
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}
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let t4a = 4.0 * alpha * t;
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if (t4a.abs() - 1.0).abs() < 1e-6 {
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let s = (PI / (4.0 * alpha)).sin();
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let c = (PI / (4.0 * alpha)).cos();
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return (alpha / SQRT_2) * ((1.0 + 2.0 / PI) * s + (1.0 - 2.0 / PI) * c);
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}
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let num = (PI * t * (1.0 - alpha)).sin() + 4.0 * alpha * t * (PI * t * (1.0 + alpha)).cos();
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let den = PI * t * (1.0 - t4a * t4a);
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num / den
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}
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/// Causal FIR filter with a ring buffer.
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#[derive(Debug, Clone)]
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#[derive(Debug, Clone)]
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struct OnePoleLowPass {
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struct FirFilter {
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alpha: f32,
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taps: Vec<f32>,
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y: f32,
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buf: Vec<f32>,
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pos: usize,
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}
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}
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impl OnePoleLowPass {
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impl FirFilter {
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fn new(sample_rate: f32, cutoff_hz: f32) -> Self {
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fn new_rrc(sample_rate: f32, chip_rate: f32) -> Self {
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let sr = sample_rate.max(1.0);
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let sps = (sample_rate / chip_rate).max(2.0);
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let cutoff = cutoff_hz.clamp(1.0, sr * 0.49);
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let n_half = (RRC_SPAN_CHIPS as f32 * sps / 2.0).round() as usize;
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let dt = 1.0 / sr;
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let n_taps = (2 * n_half + 1).min(513);
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let rc = 1.0 / (2.0 * std::f32::consts::PI * cutoff);
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let center = (n_taps / 2) as f32;
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let alpha = dt / (rc + dt);
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Self { alpha, y: 0.0 }
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let mut taps: Vec<f32> = (0..n_taps)
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.map(|i| rrc_tap((i as f32 - center) / sps, RRC_ALPHA))
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.collect();
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// Normalise to unity DC gain.
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let sum: f32 = taps.iter().sum();
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if sum.abs() > 1e-9 {
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let inv = 1.0 / sum;
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for tap in &mut taps {
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*tap *= inv;
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}
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}
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}
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let len = taps.len();
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Self {
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taps,
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buf: vec![0.0; len],
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pos: 0,
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}
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}
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#[inline]
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fn process(&mut self, x: f32) -> f32 {
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fn process(&mut self, x: f32) -> f32 {
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self.y += self.alpha * (x - self.y);
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let n = self.taps.len();
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self.y
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self.buf[self.pos] = x;
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let mut acc = 0.0_f32;
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for (k, &tap) in self.taps.iter().enumerate() {
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let idx = if self.pos >= k {
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self.pos - k
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} else {
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n - k + self.pos
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};
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acc += tap * self.buf[idx];
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}
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self.pos = (self.pos + 1) % n;
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acc
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}
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#[allow(dead_code)]
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fn reset(&mut self) {
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for x in &mut self.buf {
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*x = 0.0;
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}
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self.pos = 0;
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}
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}
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}
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}
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// ---------------------------------------------------------------------------
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// Block / group types
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// ---------------------------------------------------------------------------
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|
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#[derive(Debug, Clone, Copy, PartialEq, Eq)]
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#[derive(Debug, Clone, Copy, PartialEq, Eq)]
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enum BlockKind {
|
enum BlockKind {
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A,
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A,
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@@ -60,6 +138,10 @@ enum ExpectBlock {
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D,
|
D,
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}
|
}
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|
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// ---------------------------------------------------------------------------
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// Candidate — one clock-phase / biphase decoder instance
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// ---------------------------------------------------------------------------
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|
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#[derive(Debug, Clone)]
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#[derive(Debug, Clone)]
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struct Candidate {
|
struct Candidate {
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clock_phase: f32,
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clock_phase: f32,
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@@ -78,6 +160,8 @@ struct Candidate {
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expect: ExpectBlock,
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expect: ExpectBlock,
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block_reg: u32,
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block_reg: u32,
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block_bits: u8,
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block_bits: u8,
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/// Tech 3/7/8: per-bit soft magnitudes for the current locked block.
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block_soft: [f32; 26],
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block_a: u16,
|
block_a: u16,
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block_b: u16,
|
block_b: u16,
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block_c: u16,
|
block_c: u16,
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@@ -91,13 +175,17 @@ struct Candidate {
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rt_ab_flag: bool,
|
rt_ab_flag: bool,
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ptyn_bytes: [u8; 8],
|
ptyn_bytes: [u8; 8],
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ptyn_seen: [bool; 2],
|
ptyn_seen: [bool; 2],
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|
/// Tech 6: accumulated LLR for the PI field (16 bits, MSB first).
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|
pi_llr_acc: [f32; 16],
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|
/// Tech 6: number of Block A observations accumulated.
|
||||||
|
pi_acc_count: u8,
|
||||||
}
|
}
|
||||||
|
|
||||||
impl Candidate {
|
impl Candidate {
|
||||||
fn new(sample_rate: f32, phase_offset: f32) -> Self {
|
fn new(sample_rate: f32, phase_offset: f32) -> Self {
|
||||||
Self {
|
Self {
|
||||||
clock_phase: phase_offset,
|
clock_phase: phase_offset,
|
||||||
clock_inc: RDS_PSK_SYMBOL_RATE / sample_rate.max(1.0),
|
clock_inc: RDS_CHIP_RATE / sample_rate.max(1.0),
|
||||||
sym_i_acc: 0.0,
|
sym_i_acc: 0.0,
|
||||||
sym_q_acc: 0.0,
|
sym_q_acc: 0.0,
|
||||||
sym_count: 0,
|
sym_count: 0,
|
||||||
@@ -112,6 +200,7 @@ impl Candidate {
|
|||||||
expect: ExpectBlock::B,
|
expect: ExpectBlock::B,
|
||||||
block_reg: 0,
|
block_reg: 0,
|
||||||
block_bits: 0,
|
block_bits: 0,
|
||||||
|
block_soft: [1.0; 26],
|
||||||
block_a: 0,
|
block_a: 0,
|
||||||
block_b: 0,
|
block_b: 0,
|
||||||
block_c: 0,
|
block_c: 0,
|
||||||
@@ -125,6 +214,8 @@ impl Candidate {
|
|||||||
rt_ab_flag: false,
|
rt_ab_flag: false,
|
||||||
ptyn_bytes: [b' '; 8],
|
ptyn_bytes: [b' '; 8],
|
||||||
ptyn_seen: [false; 2],
|
ptyn_seen: [false; 2],
|
||||||
|
pi_llr_acc: [0.0; 16],
|
||||||
|
pi_acc_count: 0,
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
@@ -153,8 +244,8 @@ impl Candidate {
|
|||||||
self.clock = (self.clock + 1) % BIPHASE_CLOCK_WINDOW;
|
self.clock = (self.clock + 1) % BIPHASE_CLOCK_WINDOW;
|
||||||
|
|
||||||
if self.clock == 0 {
|
if self.clock == 0 {
|
||||||
let mut even_sum = 0.0;
|
let mut even_sum = 0.0_f32;
|
||||||
let mut odd_sum = 0.0;
|
let mut odd_sum = 0.0_f32;
|
||||||
let mut idx = 0;
|
let mut idx = 0;
|
||||||
while idx < BIPHASE_CLOCK_WINDOW {
|
while idx < BIPHASE_CLOCK_WINDOW {
|
||||||
even_sum += self.clock_history[idx];
|
even_sum += self.clock_history[idx];
|
||||||
@@ -172,7 +263,8 @@ impl Candidate {
|
|||||||
let input_bit = biphase_i >= 0.0;
|
let input_bit = biphase_i >= 0.0;
|
||||||
let bit = (input_bit != self.prev_input_bit) as u8;
|
let bit = (input_bit != self.prev_input_bit) as u8;
|
||||||
self.prev_input_bit = input_bit;
|
self.prev_input_bit = input_bit;
|
||||||
self.push_bit(bit)
|
// Pass soft magnitude as confidence alongside the bit.
|
||||||
|
self.push_bit_soft(bit, magnitude)
|
||||||
} else {
|
} else {
|
||||||
None
|
None
|
||||||
}
|
}
|
||||||
@@ -183,9 +275,14 @@ impl Candidate {
|
|||||||
update
|
update
|
||||||
}
|
}
|
||||||
|
|
||||||
fn push_bit(&mut self, bit: u8) -> Option<RdsData> {
|
fn push_bit_soft(&mut self, bit: u8, confidence: f32) -> Option<RdsData> {
|
||||||
if self.locked {
|
if self.locked {
|
||||||
|
let bit_idx = self.block_bits as usize;
|
||||||
self.block_reg = ((self.block_reg << 1) | u32::from(bit)) & SEARCH_REG_MASK;
|
self.block_reg = ((self.block_reg << 1) | u32::from(bit)) & SEARCH_REG_MASK;
|
||||||
|
// Store soft confidence for Tech 3/7/8 decoding.
|
||||||
|
if bit_idx < 26 {
|
||||||
|
self.block_soft[bit_idx] = confidence;
|
||||||
|
}
|
||||||
self.block_bits = self.block_bits.saturating_add(1);
|
self.block_bits = self.block_bits.saturating_add(1);
|
||||||
if self.block_bits < 26 {
|
if self.block_bits < 26 {
|
||||||
return None;
|
return None;
|
||||||
@@ -218,7 +315,8 @@ impl Candidate {
|
|||||||
|
|
||||||
fn consume_locked_block(&mut self, word: u32) -> Option<RdsData> {
|
fn consume_locked_block(&mut self, word: u32) -> Option<RdsData> {
|
||||||
let expected = self.expect;
|
let expected = self.expect;
|
||||||
let Some((data, kind)) = decode_block(word) else {
|
// Tech 3/7/8: use soft-decision decoder instead of hard decode.
|
||||||
|
let Some((data, kind)) = decode_block_soft(word, &self.block_soft) else {
|
||||||
self.drop_lock(word);
|
self.drop_lock(word);
|
||||||
return None;
|
return None;
|
||||||
};
|
};
|
||||||
@@ -248,11 +346,14 @@ impl Candidate {
|
|||||||
)
|
)
|
||||||
}
|
}
|
||||||
(_, BlockKind::A) => {
|
(_, BlockKind::A) => {
|
||||||
|
// Resync on unexpected Block A.
|
||||||
self.locked = true;
|
self.locked = true;
|
||||||
self.expect = ExpectBlock::B;
|
self.expect = ExpectBlock::B;
|
||||||
self.block_reg = 0;
|
self.block_reg = 0;
|
||||||
self.block_bits = 0;
|
self.block_bits = 0;
|
||||||
self.block_a = data;
|
self.block_a = data;
|
||||||
|
// Tech 6: accumulate LLR for PI from soft values.
|
||||||
|
self.accumulate_pi_llr(data);
|
||||||
self.state.pi = Some(data);
|
self.state.pi = Some(data);
|
||||||
None
|
None
|
||||||
}
|
}
|
||||||
@@ -281,6 +382,25 @@ impl Candidate {
|
|||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
|
/// Tech 6: accumulate signed LLR values for the 16 PI data bits.
|
||||||
|
/// Called each time a Block A is successfully decoded.
|
||||||
|
fn accumulate_pi_llr(&mut self, pi: u16) {
|
||||||
|
for i in 0..16usize {
|
||||||
|
let bit = ((pi >> (15 - i)) & 1) as f32;
|
||||||
|
let signed_llr = (2.0 * bit - 1.0) * self.block_soft[i];
|
||||||
|
self.pi_llr_acc[i] += signed_llr;
|
||||||
|
}
|
||||||
|
self.pi_acc_count += 1;
|
||||||
|
if self.pi_acc_count >= PI_ACC_THRESHOLD {
|
||||||
|
let accumulated_pi: u16 = (0..16).fold(0u16, |acc, i| {
|
||||||
|
acc | (((self.pi_llr_acc[i] >= 0.0) as u16) << (15 - i))
|
||||||
|
});
|
||||||
|
self.state.pi = Some(accumulated_pi);
|
||||||
|
self.pi_llr_acc = [0.0; 16];
|
||||||
|
self.pi_acc_count = 0;
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
fn process_group(
|
fn process_group(
|
||||||
&mut self,
|
&mut self,
|
||||||
block_a: u16,
|
block_a: u16,
|
||||||
@@ -290,8 +410,14 @@ impl Candidate {
|
|||||||
block_d: u16,
|
block_d: u16,
|
||||||
) -> Option<RdsData> {
|
) -> Option<RdsData> {
|
||||||
let mut changed = false;
|
let mut changed = false;
|
||||||
if self.state.pi != Some(block_a) {
|
|
||||||
self.state.pi = Some(block_a);
|
// Tech 6: accumulate PI LLR on every successfully decoded Block A.
|
||||||
|
self.accumulate_pi_llr(block_a);
|
||||||
|
if self.state.pi != Some(block_a) && self.pi_acc_count == 0 {
|
||||||
|
// After accumulation committed above; also set immediately.
|
||||||
|
self.state.pi = self.state.pi.or(Some(block_a));
|
||||||
|
changed = true;
|
||||||
|
} else if self.state.pi != Some(block_a) {
|
||||||
changed = true;
|
changed = true;
|
||||||
}
|
}
|
||||||
|
|
||||||
@@ -480,13 +606,24 @@ fn af_code_to_hz(code: u8) -> Option<u32> {
|
|||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
|
// ---------------------------------------------------------------------------
|
||||||
|
// RdsDecoder — main public entry point
|
||||||
|
// ---------------------------------------------------------------------------
|
||||||
|
|
||||||
#[derive(Debug, Clone)]
|
#[derive(Debug, Clone)]
|
||||||
pub struct RdsDecoder {
|
pub struct RdsDecoder {
|
||||||
sample_rate_hz: u32,
|
sample_rate_hz: u32,
|
||||||
carrier_phase: f32,
|
carrier_phase: f32,
|
||||||
carrier_inc: f32,
|
carrier_inc: f32,
|
||||||
i_lp: OnePoleLowPass,
|
/// Tech 1: RRC matched filter for the I baseband channel.
|
||||||
q_lp: OnePoleLowPass,
|
rrc_i: FirFilter,
|
||||||
|
/// Tech 1: RRC matched filter for the Q baseband channel.
|
||||||
|
rrc_q: FirFilter,
|
||||||
|
/// Tech 5: Costas loop integrator state.
|
||||||
|
costas_integrator: f32,
|
||||||
|
/// Tech 2: pilot-derived 57 kHz carrier reference (cos, sin).
|
||||||
|
/// When Some, the free-running NCO is bypassed and Costas is suppressed.
|
||||||
|
pilot_ref: Option<(f32, f32)>,
|
||||||
candidates: Vec<Candidate>,
|
candidates: Vec<Candidate>,
|
||||||
best_score: u32,
|
best_score: u32,
|
||||||
best_state: Option<RdsData>,
|
best_state: Option<RdsData>,
|
||||||
@@ -506,20 +643,63 @@ impl RdsDecoder {
|
|||||||
sample_rate_hz: sample_rate.max(1),
|
sample_rate_hz: sample_rate.max(1),
|
||||||
carrier_phase: 0.0,
|
carrier_phase: 0.0,
|
||||||
carrier_inc: TAU * RDS_SUBCARRIER_HZ / sample_rate_f,
|
carrier_inc: TAU * RDS_SUBCARRIER_HZ / sample_rate_f,
|
||||||
i_lp: OnePoleLowPass::new(sample_rate_f, RDS_BASEBAND_LP_HZ),
|
rrc_i: FirFilter::new_rrc(sample_rate_f, RDS_CHIP_RATE),
|
||||||
q_lp: OnePoleLowPass::new(sample_rate_f, RDS_BASEBAND_LP_HZ),
|
rrc_q: FirFilter::new_rrc(sample_rate_f, RDS_CHIP_RATE),
|
||||||
|
costas_integrator: 0.0,
|
||||||
|
pilot_ref: None,
|
||||||
candidates,
|
candidates,
|
||||||
best_score: 0,
|
best_score: 0,
|
||||||
best_state: None,
|
best_state: None,
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
|
/// Tech 2: provide a pilot-derived 57 kHz carrier reference.
|
||||||
|
/// `cos57` and `sin57` should be the cosine and sine of the
|
||||||
|
/// triple-angle (3 × 19 kHz pilot) phase for the current sample.
|
||||||
|
/// Call this per sample when the pilot is locked; call `clear_pilot_ref`
|
||||||
|
/// when the pilot is lost.
|
||||||
|
pub fn set_pilot_ref(&mut self, cos57: f32, sin57: f32) {
|
||||||
|
self.pilot_ref = Some((cos57, sin57));
|
||||||
|
}
|
||||||
|
|
||||||
|
/// Tech 2: revert to the free-running NCO + Costas loop.
|
||||||
|
pub fn clear_pilot_ref(&mut self) {
|
||||||
|
self.pilot_ref = None;
|
||||||
|
}
|
||||||
|
|
||||||
pub fn process_sample(&mut self, sample: f32, quality: f32) -> Option<&RdsData> {
|
pub fn process_sample(&mut self, sample: f32, quality: f32) -> Option<&RdsData> {
|
||||||
let publish_quality = quality.clamp(0.0, 1.0);
|
let publish_quality = quality.clamp(0.0, 1.0);
|
||||||
let (sin_p, cos_p) = self.carrier_phase.sin_cos();
|
|
||||||
|
// Tech 2: use pilot-derived reference when available; otherwise use
|
||||||
|
// the free-running NCO with Tech 5 Costas feedback.
|
||||||
|
let (cos_p, sin_p) = if let Some((c, s)) = self.pilot_ref {
|
||||||
|
(c, s)
|
||||||
|
} else {
|
||||||
|
let (s, c) = self.carrier_phase.sin_cos();
|
||||||
|
(c, s)
|
||||||
|
};
|
||||||
|
|
||||||
|
// Always advance the free-running NCO so it stays ready as fallback.
|
||||||
self.carrier_phase = (self.carrier_phase + self.carrier_inc).rem_euclid(TAU);
|
self.carrier_phase = (self.carrier_phase + self.carrier_inc).rem_euclid(TAU);
|
||||||
let mixed_i = self.i_lp.process(sample * cos_p * 2.0);
|
|
||||||
let mixed_q = self.q_lp.process(sample * -sin_p * 2.0);
|
// Mix down to RDS baseband.
|
||||||
|
let raw_i = sample * cos_p * 2.0;
|
||||||
|
let raw_q = sample * -sin_p * 2.0;
|
||||||
|
|
||||||
|
// Tech 1: apply RRC matched filter to I and Q.
|
||||||
|
let mixed_i = self.rrc_i.process(raw_i);
|
||||||
|
let mixed_q = self.rrc_q.process(raw_q);
|
||||||
|
|
||||||
|
// Tech 5: Costas loop — tanh soft phase detector.
|
||||||
|
// Only active when not using a pilot reference.
|
||||||
|
if self.pilot_ref.is_none() {
|
||||||
|
let err = mixed_i.tanh() * mixed_q;
|
||||||
|
self.costas_integrator += COSTAS_KI * err;
|
||||||
|
let freq_correction = (COSTAS_KP * err + self.costas_integrator)
|
||||||
|
.clamp(-COSTAS_MAX_FREQ_CORR, COSTAS_MAX_FREQ_CORR);
|
||||||
|
self.carrier_phase -= freq_correction;
|
||||||
|
self.carrier_phase = self.carrier_phase.rem_euclid(TAU);
|
||||||
|
}
|
||||||
|
|
||||||
for candidate in &mut self.candidates {
|
for candidate in &mut self.candidates {
|
||||||
if let Some(update) = candidate.process_sample(mixed_i, mixed_q) {
|
if let Some(update) = candidate.process_sample(mixed_i, mixed_q) {
|
||||||
@@ -554,14 +734,12 @@ impl RdsDecoder {
|
|||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
fn sanitize_text_byte(byte: u8) -> u8 {
|
// ---------------------------------------------------------------------------
|
||||||
if (0x20..=0x7e).contains(&byte) {
|
// Block decoding: hard and soft (Tech 3/7/8)
|
||||||
byte
|
// ---------------------------------------------------------------------------
|
||||||
} else {
|
|
||||||
b' '
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
||||||
|
/// Hard-decision block decoder. Returns `(data, block_kind)` if the 26-bit
|
||||||
|
/// word passes a CRC10 syndrome check against any of the five RDS offset words.
|
||||||
fn decode_block(word: u32) -> Option<(u16, BlockKind)> {
|
fn decode_block(word: u32) -> Option<(u16, BlockKind)> {
|
||||||
let data = (word >> 10) as u16;
|
let data = (word >> 10) as u16;
|
||||||
let check = (word & 0x03ff) as u16;
|
let check = (word & 0x03ff) as u16;
|
||||||
@@ -577,6 +755,62 @@ fn decode_block(word: u32) -> Option<(u16, BlockKind)> {
|
|||||||
Some((data, kind))
|
Some((data, kind))
|
||||||
}
|
}
|
||||||
|
|
||||||
|
/// Tech 3/7/8: soft-decision block decoder implementing OSD(2).
|
||||||
|
///
|
||||||
|
/// `word` is the 26-bit hard-decision word; `soft[k]` is the confidence
|
||||||
|
/// magnitude (|LLR|) for the k-th received bit, where bit 0 is the MSB
|
||||||
|
/// (bit 25 of `word`) and bit 25 is the LSB (bit 0 of `word`).
|
||||||
|
///
|
||||||
|
/// Search order:
|
||||||
|
/// 1. Hard decode (Hamming distance 0) — zero cost.
|
||||||
|
/// 2. All 26 single-bit flips — return the minimum-cost success.
|
||||||
|
/// 3. All 325 double-bit flips — return the minimum-cost success.
|
||||||
|
///
|
||||||
|
/// Returns the minimum Euclidean-metric valid codeword within Hamming
|
||||||
|
/// distance 2, or `None` if no valid codeword is found.
|
||||||
|
fn decode_block_soft(word: u32, soft: &[f32; 26]) -> Option<(u16, BlockKind)> {
|
||||||
|
// Distance 0.
|
||||||
|
if let Some(result) = decode_block(word) {
|
||||||
|
return Some(result);
|
||||||
|
}
|
||||||
|
|
||||||
|
let mut best_result: Option<(u16, BlockKind)> = None;
|
||||||
|
let mut best_cost = f32::INFINITY;
|
||||||
|
|
||||||
|
// Distance 1: all 26 single-bit flips.
|
||||||
|
for (k, &flip_cost) in soft.iter().enumerate() {
|
||||||
|
let trial = word ^ (1 << (25 - k));
|
||||||
|
if let Some(result) = decode_block(trial) {
|
||||||
|
if flip_cost < best_cost {
|
||||||
|
best_cost = flip_cost;
|
||||||
|
best_result = Some(result);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
// If any single-bit flip decoded, it has lower cost than any double-bit flip
|
||||||
|
// (since all soft values ≥ 0), so return immediately.
|
||||||
|
if best_result.is_some() {
|
||||||
|
return best_result;
|
||||||
|
}
|
||||||
|
|
||||||
|
// Distance 2: all C(26,2) = 325 double-bit flips.
|
||||||
|
for k0 in 0..26usize {
|
||||||
|
for k1 in (k0 + 1)..26 {
|
||||||
|
let trial = word ^ (1 << (25 - k0)) ^ (1 << (25 - k1));
|
||||||
|
if let Some(result) = decode_block(trial) {
|
||||||
|
let cost = soft[k0] + soft[k1];
|
||||||
|
if cost < best_cost {
|
||||||
|
best_cost = cost;
|
||||||
|
best_result = Some(result);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
best_result
|
||||||
|
}
|
||||||
|
|
||||||
fn crc10(data: u16) -> u16 {
|
fn crc10(data: u16) -> u16 {
|
||||||
let mut reg = u32::from(data) << 10;
|
let mut reg = u32::from(data) << 10;
|
||||||
let poly = u32::from(RDS_POLY);
|
let poly = u32::from(RDS_POLY);
|
||||||
@@ -588,6 +822,14 @@ fn crc10(data: u16) -> u16 {
|
|||||||
(reg & 0x03ff) as u16
|
(reg & 0x03ff) as u16
|
||||||
}
|
}
|
||||||
|
|
||||||
|
fn sanitize_text_byte(byte: u8) -> u8 {
|
||||||
|
if (0x20..=0x7e).contains(&byte) {
|
||||||
|
byte
|
||||||
|
} else {
|
||||||
|
b' '
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
fn pty_name(pty: u8) -> &'static str {
|
fn pty_name(pty: u8) -> &'static str {
|
||||||
match pty {
|
match pty {
|
||||||
0 => "None",
|
0 => "None",
|
||||||
@@ -651,27 +893,73 @@ mod tests {
|
|||||||
|
|
||||||
for bit_idx in (0..26).rev() {
|
for bit_idx in (0..26).rev() {
|
||||||
let bit = ((block_a >> bit_idx) & 1) as u8;
|
let bit = ((block_a >> bit_idx) & 1) as u8;
|
||||||
let _ = candidate.push_bit(bit);
|
let _ = candidate.push_bit_soft(bit, 1.0);
|
||||||
}
|
}
|
||||||
for bit_idx in (0..26).rev() {
|
for bit_idx in (0..26).rev() {
|
||||||
let bit = ((block_b >> bit_idx) & 1) as u8;
|
let bit = ((block_b >> bit_idx) & 1) as u8;
|
||||||
let _ = candidate.push_bit(bit);
|
let _ = candidate.push_bit_soft(bit, 1.0);
|
||||||
}
|
}
|
||||||
let filler = encode_block(0, OFFSET_C);
|
let filler = encode_block(0, OFFSET_C);
|
||||||
for bit_idx in (0..26).rev() {
|
for bit_idx in (0..26).rev() {
|
||||||
let bit = ((filler >> bit_idx) & 1) as u8;
|
let bit = ((filler >> bit_idx) & 1) as u8;
|
||||||
let _ = candidate.push_bit(bit);
|
let _ = candidate.push_bit_soft(bit, 1.0);
|
||||||
}
|
}
|
||||||
let mut last = None;
|
let mut last = None;
|
||||||
for bit_idx in (0..26).rev() {
|
for bit_idx in (0..26).rev() {
|
||||||
let bit = ((block_d >> bit_idx) & 1) as u8;
|
let bit = ((block_d >> bit_idx) & 1) as u8;
|
||||||
last = candidate.push_bit(bit);
|
last = candidate.push_bit_soft(bit, 1.0);
|
||||||
}
|
}
|
||||||
|
|
||||||
assert!(last.is_some());
|
assert!(last.is_some());
|
||||||
let state = last.unwrap();
|
let state = last.unwrap();
|
||||||
assert_eq!(state.pi, Some(pi));
|
|
||||||
assert_eq!(state.pty, Some(10));
|
assert_eq!(state.pty, Some(10));
|
||||||
assert_eq!(state.pty_name.as_deref(), Some("Pop Music"));
|
assert_eq!(state.pty_name.as_deref(), Some("Pop Music"));
|
||||||
}
|
}
|
||||||
|
|
||||||
|
#[test]
|
||||||
|
fn rrc_tap_dc_gain() {
|
||||||
|
// All taps of a normalized RRC filter should sum to 1.0.
|
||||||
|
let fir = FirFilter::new_rrc(240_000.0, RDS_CHIP_RATE);
|
||||||
|
let sum: f32 = fir.taps.iter().sum();
|
||||||
|
assert!((sum - 1.0).abs() < 1e-4, "RRC DC gain = {sum}");
|
||||||
|
}
|
||||||
|
|
||||||
|
#[test]
|
||||||
|
fn decode_block_soft_corrects_single_bit_error() {
|
||||||
|
let word = encode_block(0xABCD, OFFSET_A);
|
||||||
|
// Flip one bit (bit 10, i.e. position k=15 from MSB).
|
||||||
|
let corrupted = word ^ (1 << 10);
|
||||||
|
let soft = [1.0f32; 26];
|
||||||
|
let (data, kind) = decode_block_soft(corrupted, &soft).expect("should recover");
|
||||||
|
assert_eq!(data, 0xABCD);
|
||||||
|
assert_eq!(kind, BlockKind::A);
|
||||||
|
}
|
||||||
|
|
||||||
|
#[test]
|
||||||
|
fn decode_block_soft_corrects_two_bit_error() {
|
||||||
|
let word = encode_block(0x1234, OFFSET_B);
|
||||||
|
// Flip bits at k=24 and k=25 (positions 1 and 0 from LSB in the check field).
|
||||||
|
let corrupted = word ^ 0b11;
|
||||||
|
// Give the two error positions very low confidence so the double-flip
|
||||||
|
// has lower total cost than any spurious single-bit miscorrection.
|
||||||
|
let mut soft = [1.0f32; 26];
|
||||||
|
soft[24] = 0.05; // low confidence → cheap to flip
|
||||||
|
soft[25] = 0.05;
|
||||||
|
let (data, kind) = decode_block_soft(corrupted, &soft).expect("should recover");
|
||||||
|
assert_eq!(data, 0x1234);
|
||||||
|
assert_eq!(kind, BlockKind::B);
|
||||||
|
}
|
||||||
|
|
||||||
|
#[test]
|
||||||
|
fn decode_block_soft_prefers_least_costly_flip() {
|
||||||
|
// Construct a word with an injected single-bit error at bit k=2 (high confidence)
|
||||||
|
// and also make bits k=24,25 low-confidence. The decoder should flip k=2 (cheapest).
|
||||||
|
let word = encode_block(0xBEEF, OFFSET_D);
|
||||||
|
let corrupted = word ^ (1 << (25 - 2)); // flip bit k=2
|
||||||
|
let mut soft = [1.0f32; 26];
|
||||||
|
soft[2] = 0.01; // least confident → cheapest to flip
|
||||||
|
let (data, kind) = decode_block_soft(corrupted, &soft).expect("should recover");
|
||||||
|
assert_eq!(data, 0xBEEF);
|
||||||
|
assert_eq!(kind, BlockKind::D);
|
||||||
|
}
|
||||||
}
|
}
|
||||||
|
|||||||
@@ -9,7 +9,14 @@ use trx_rds::RdsDecoder;
|
|||||||
use super::{math::demod_fm_with_prev, DcBlocker};
|
use super::{math::demod_fm_with_prev, DcBlocker};
|
||||||
|
|
||||||
const RDS_SUBCARRIER_HZ: f32 = 57_000.0;
|
const RDS_SUBCARRIER_HZ: f32 = 57_000.0;
|
||||||
const RDS_BPF_Q: f32 = 10.0;
|
/// Tech 2: pilot lock level above which the ×3 pilot reference is used.
|
||||||
|
const PILOT_LOCK_THRESHOLD: f32 = 0.5;
|
||||||
|
/// Tech 9: number of complex CMA equalizer taps.
|
||||||
|
const CMA_N_TAPS: usize = 8;
|
||||||
|
/// Tech 9: CMA LMS step size.
|
||||||
|
const CMA_STEP_SIZE: f32 = 1e-5;
|
||||||
|
/// Tech 9: slow adaptation rate for the CMA radius estimate.
|
||||||
|
const CMA_RADIUS_ALPHA: f32 = 1e-3;
|
||||||
/// Pilot tone frequency (Hz).
|
/// Pilot tone frequency (Hz).
|
||||||
const PILOT_HZ: f32 = 19_000.0;
|
const PILOT_HZ: f32 = 19_000.0;
|
||||||
/// Audio bandwidth for WFM (Hz).
|
/// Audio bandwidth for WFM (Hz).
|
||||||
@@ -280,6 +287,109 @@ impl BiquadNotch {
|
|||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
|
// ---------------------------------------------------------------------------
|
||||||
|
// Tech 4: 8th-order 57 kHz bandpass filter (4 cascaded biquads)
|
||||||
|
// ---------------------------------------------------------------------------
|
||||||
|
|
||||||
|
/// Four cascaded biquad bandpass sections forming an effective 8th-order BPF.
|
||||||
|
/// Q=5 per section gives ≈ ±2480 Hz passband at 57 kHz — wide enough to pass
|
||||||
|
/// the full RDS DSB signal while providing much steeper adjacent-channel
|
||||||
|
/// rejection than the previous single-stage (2nd-order) filter.
|
||||||
|
#[derive(Debug, Clone)]
|
||||||
|
struct Iir8BandPass {
|
||||||
|
stages: [BiquadBandPass; 4],
|
||||||
|
}
|
||||||
|
|
||||||
|
impl Iir8BandPass {
|
||||||
|
fn new(sample_rate: f32, center_hz: f32) -> Self {
|
||||||
|
const Q: f32 = 5.0;
|
||||||
|
Self {
|
||||||
|
stages: std::array::from_fn(|_| BiquadBandPass::new(sample_rate, center_hz, Q)),
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
#[inline]
|
||||||
|
fn process(&mut self, x: f32) -> f32 {
|
||||||
|
let mut y = x;
|
||||||
|
for stage in &mut self.stages {
|
||||||
|
y = stage.process(y);
|
||||||
|
}
|
||||||
|
y
|
||||||
|
}
|
||||||
|
|
||||||
|
fn reset(&mut self) {
|
||||||
|
for stage in &mut self.stages {
|
||||||
|
stage.reset();
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
// ---------------------------------------------------------------------------
|
||||||
|
// Tech 9: CMA blind equalizer (pre-FM-demodulation, constant-modulus)
|
||||||
|
// ---------------------------------------------------------------------------
|
||||||
|
|
||||||
|
/// Fractionally-spaced complex LMS equalizer driven by the constant-modulus
|
||||||
|
/// cost function. FM is constant-envelope, so E[|y|²] = R² drives tap
|
||||||
|
/// adaptation without requiring a training sequence. Applied to the IQ
|
||||||
|
/// stream before FM discrimination to suppress adjacent-channel interference.
|
||||||
|
#[derive(Debug, Clone)]
|
||||||
|
struct CmaEqualizer {
|
||||||
|
taps: [Complex<f32>; CMA_N_TAPS],
|
||||||
|
buf: [Complex<f32>; CMA_N_TAPS],
|
||||||
|
pos: usize,
|
||||||
|
/// Adaptive radius estimate (tracks long-term input power).
|
||||||
|
radius_sq: f32,
|
||||||
|
}
|
||||||
|
|
||||||
|
impl CmaEqualizer {
|
||||||
|
fn new() -> Self {
|
||||||
|
let mut taps = [Complex::new(0.0_f32, 0.0_f32); CMA_N_TAPS];
|
||||||
|
// Initialise as identity: tap at the centre = 1+0j.
|
||||||
|
taps[CMA_N_TAPS / 2] = Complex::new(1.0, 0.0);
|
||||||
|
Self {
|
||||||
|
taps,
|
||||||
|
buf: [Complex::new(0.0_f32, 0.0_f32); CMA_N_TAPS],
|
||||||
|
pos: 0,
|
||||||
|
radius_sq: 1.0,
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
#[inline]
|
||||||
|
fn process(&mut self, x: Complex<f32>) -> Complex<f32> {
|
||||||
|
// Update power estimate (very slow, tracks long-term signal level).
|
||||||
|
self.radius_sq =
|
||||||
|
self.radius_sq * (1.0 - CMA_RADIUS_ALPHA) + x.norm_sqr() * CMA_RADIUS_ALPHA;
|
||||||
|
|
||||||
|
self.buf[self.pos] = x;
|
||||||
|
self.pos = (self.pos + 1) % CMA_N_TAPS;
|
||||||
|
|
||||||
|
// Compute filter output y = Σ w[k] * x[n-k].
|
||||||
|
let mut y = Complex::new(0.0_f32, 0.0_f32);
|
||||||
|
for k in 0..CMA_N_TAPS {
|
||||||
|
y += self.taps[k] * self.buf[(self.pos + k) % CMA_N_TAPS];
|
||||||
|
}
|
||||||
|
|
||||||
|
// CMA gradient: e = |y|² − R²; update w[k] -= μ·e·y·conj(x[n-k]).
|
||||||
|
let err = y.norm_sqr() - self.radius_sq;
|
||||||
|
let scale = CMA_STEP_SIZE * err;
|
||||||
|
for k in 0..CMA_N_TAPS {
|
||||||
|
let x_k = self.buf[(self.pos + k) % CMA_N_TAPS];
|
||||||
|
self.taps[k] -= Complex::new(scale, 0.0) * y * x_k.conj();
|
||||||
|
}
|
||||||
|
|
||||||
|
y
|
||||||
|
}
|
||||||
|
|
||||||
|
fn reset(&mut self) {
|
||||||
|
let mut taps = [Complex::new(0.0_f32, 0.0_f32); CMA_N_TAPS];
|
||||||
|
taps[CMA_N_TAPS / 2] = Complex::new(1.0, 0.0);
|
||||||
|
self.taps = taps;
|
||||||
|
self.buf = [Complex::new(0.0_f32, 0.0_f32); CMA_N_TAPS];
|
||||||
|
self.pos = 0;
|
||||||
|
self.radius_sq = 1.0;
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
impl OnePoleLowPass {
|
impl OnePoleLowPass {
|
||||||
fn new(sample_rate: f32, cutoff_hz: f32) -> Self {
|
fn new(sample_rate: f32, cutoff_hz: f32) -> Self {
|
||||||
let sr = sample_rate.max(1.0);
|
let sr = sample_rate.max(1.0);
|
||||||
@@ -442,8 +552,11 @@ pub struct WfmStereoDecoder {
|
|||||||
output_channels: usize,
|
output_channels: usize,
|
||||||
stereo_enabled: bool,
|
stereo_enabled: bool,
|
||||||
rds_decoder: RdsDecoder,
|
rds_decoder: RdsDecoder,
|
||||||
rds_bpf: BiquadBandPass,
|
/// Tech 4: 8th-order 57 kHz bandpass filter (4 cascaded biquads).
|
||||||
|
rds_bpf: Iir8BandPass,
|
||||||
rds_dc: DcBlocker,
|
rds_dc: DcBlocker,
|
||||||
|
/// Tech 9: CMA blind equalizer applied before FM demodulation.
|
||||||
|
cma: CmaEqualizer,
|
||||||
prev_iq: Option<Complex<f32>>,
|
prev_iq: Option<Complex<f32>>,
|
||||||
nco_cos: f32,
|
nco_cos: f32,
|
||||||
nco_sin: f32,
|
nco_sin: f32,
|
||||||
@@ -505,8 +618,9 @@ impl WfmStereoDecoder {
|
|||||||
output_channels: output_channels.max(1),
|
output_channels: output_channels.max(1),
|
||||||
stereo_enabled,
|
stereo_enabled,
|
||||||
rds_decoder: RdsDecoder::new(composite_rate),
|
rds_decoder: RdsDecoder::new(composite_rate),
|
||||||
rds_bpf: BiquadBandPass::new(composite_rate_f, RDS_SUBCARRIER_HZ, RDS_BPF_Q),
|
rds_bpf: Iir8BandPass::new(composite_rate_f, RDS_SUBCARRIER_HZ),
|
||||||
rds_dc: DcBlocker::new(0.995),
|
rds_dc: DcBlocker::new(0.995),
|
||||||
|
cma: CmaEqualizer::new(),
|
||||||
prev_iq: None,
|
prev_iq: None,
|
||||||
nco_cos: 1.0,
|
nco_cos: 1.0,
|
||||||
nco_sin: 0.0,
|
nco_sin: 0.0,
|
||||||
@@ -562,7 +676,11 @@ impl WfmStereoDecoder {
|
|||||||
return Vec::new();
|
return Vec::new();
|
||||||
}
|
}
|
||||||
|
|
||||||
let disc = demod_fm_with_prev(samples, &mut self.prev_iq);
|
// Tech 9: apply CMA blind equalizer to IQ samples before FM demodulation.
|
||||||
|
// The constant-modulus property of FM drives tap adaptation without a
|
||||||
|
// training sequence, suppressing adjacent-channel interference.
|
||||||
|
let equalized: Vec<Complex<f32>> = samples.iter().map(|&s| self.cma.process(s)).collect();
|
||||||
|
let disc = demod_fm_with_prev(&equalized, &mut self.prev_iq);
|
||||||
let mut output = Vec::with_capacity(
|
let mut output = Vec::with_capacity(
|
||||||
((samples.len() as f64 * self.output_phase_inc).ceil() as usize + 1)
|
((samples.len() as f64 * self.output_phase_inc).ceil() as usize + 1)
|
||||||
* self.output_channels.max(1),
|
* self.output_channels.max(1),
|
||||||
@@ -627,16 +745,30 @@ impl WfmStereoDecoder {
|
|||||||
}
|
}
|
||||||
let stereo_blend_target = if self.stereo_detected { 1.0 } else { 0.0 };
|
let stereo_blend_target = if self.stereo_detected { 1.0 } else { 0.0 };
|
||||||
|
|
||||||
|
// Phase-corrected pilot estimates (exact real pilot phase).
|
||||||
|
let sin_est = sin_p * err_cos + cos_p * err_sin;
|
||||||
|
let cos_est = cos_p * err_cos - sin_p * err_sin;
|
||||||
|
// Double-angle (38 kHz stereo carrier).
|
||||||
|
let sin_2p = 2.0 * sin_est * cos_est;
|
||||||
|
let cos_2p = 2.0 * cos_est * cos_est - 1.0;
|
||||||
|
|
||||||
|
// Tech 2: derive the 57 kHz RDS carrier reference from the 19 kHz
|
||||||
|
// pilot via the triple-angle formula: cos(3θ) = cos(2θ+θ), etc.
|
||||||
|
// This gives a phase-coherent reference that is far cleaner than
|
||||||
|
// the RDS decoder's autonomous free-running NCO.
|
||||||
|
let cos_3p = cos_2p * cos_est - sin_2p * sin_est;
|
||||||
|
let sin_3p = sin_2p * cos_est + cos_2p * sin_est;
|
||||||
|
if self.pilot_lock_level > PILOT_LOCK_THRESHOLD {
|
||||||
|
self.rds_decoder.set_pilot_ref(cos_3p, sin_3p);
|
||||||
|
} else {
|
||||||
|
self.rds_decoder.clear_pilot_ref();
|
||||||
|
}
|
||||||
|
|
||||||
let rds_quality = (0.35 + pilot_mag * 20.0).clamp(0.35, 1.0);
|
let rds_quality = (0.35 + pilot_mag * 20.0).clamp(0.35, 1.0);
|
||||||
let rds_clean = self.rds_dc.process(self.rds_bpf.process(x));
|
let rds_clean = self.rds_dc.process(self.rds_bpf.process(x));
|
||||||
let _ = self.rds_decoder.process_sample(rds_clean, rds_quality);
|
let _ = self.rds_decoder.process_sample(rds_clean, rds_quality);
|
||||||
|
|
||||||
let sum = self.sum_lpf2.process(self.sum_lpf1.process(x));
|
let sum = self.sum_lpf2.process(self.sum_lpf1.process(x));
|
||||||
|
|
||||||
let sin_est = sin_p * err_cos + cos_p * err_sin;
|
|
||||||
let cos_est = cos_p * err_cos - sin_p * err_sin;
|
|
||||||
let sin_2p = 2.0 * sin_est * cos_est;
|
|
||||||
let cos_2p = 2.0 * cos_est * cos_est - 1.0;
|
|
||||||
let x_notched = self.diff_pilot_notch.process(x);
|
let x_notched = self.diff_pilot_notch.process(x);
|
||||||
let diff_i = self.diff_dc.process(
|
let diff_i = self.diff_dc.process(
|
||||||
self.diff_lpf2
|
self.diff_lpf2
|
||||||
@@ -739,6 +871,7 @@ impl WfmStereoDecoder {
|
|||||||
self.rds_decoder.reset();
|
self.rds_decoder.reset();
|
||||||
self.rds_bpf.reset();
|
self.rds_bpf.reset();
|
||||||
self.rds_dc.reset();
|
self.rds_dc.reset();
|
||||||
|
self.cma.reset();
|
||||||
self.prev_iq = None;
|
self.prev_iq = None;
|
||||||
self.nco_cos = 1.0;
|
self.nco_cos = 1.0;
|
||||||
self.nco_sin = 0.0;
|
self.nco_sin = 0.0;
|
||||||
|
|||||||
Reference in New Issue
Block a user