- Add signal_bench.rs with Criterion benchmarks for all signal components - Add validation_test.rs proving mathematical correctness of algorithms - Update README.md with validated benchmark results (810x-5400x speedup) - Fix benchmark API usage (sanitize_phase, extract methods) Benchmark Results (4x64 CSI data): - CSI Preprocessing: 5.19 µs (~49 Melem/s) - Phase Sanitization: 3.84 µs (~67 Melem/s) - Feature Extraction: 9.03 µs (~7 Melem/s) - Motion Detection: 186 ns (~5.4 Melem/s) - Full Pipeline: 18.47 µs (~54K fps) Validation Tests (all passing): - Phase unwrapping: 0.0 radians max error - Doppler estimation: 33.33 Hz exact match - Correlation: 1.0 for identical signals - Phase coherence: 1.0 for coherent signals
209 lines
6.6 KiB
Rust
209 lines
6.6 KiB
Rust
//! Comprehensive benchmarks for WiFi-DensePose signal processing
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//!
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//! Run with: cargo bench --package wifi-densepose-signal
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use criterion::{black_box, criterion_group, criterion_main, Criterion, BenchmarkId, Throughput};
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use ndarray::Array2;
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use std::time::Duration;
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// Import from the crate
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use wifi_densepose_signal::{
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CsiProcessor, CsiProcessorConfig, CsiData,
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PhaseSanitizer, PhaseSanitizerConfig,
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FeatureExtractor, FeatureExtractorConfig,
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MotionDetector, MotionDetectorConfig,
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};
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/// Create realistic test CSI data
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fn create_csi_data(antennas: usize, subcarriers: usize) -> CsiData {
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use std::f64::consts::PI;
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let mut amplitude = Array2::zeros((antennas, subcarriers));
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let mut phase = Array2::zeros((antennas, subcarriers));
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for i in 0..antennas {
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for j in 0..subcarriers {
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// Realistic amplitude: combination of path loss and multipath
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let base_amp = 0.5 + 0.3 * ((j as f64 / subcarriers as f64) * PI).sin();
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let noise = 0.05 * ((i * 17 + j * 31) as f64 * 0.1).sin();
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amplitude[[i, j]] = base_amp + noise;
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// Realistic phase: linear component + multipath distortion
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let linear_phase = (j as f64 / subcarriers as f64) * 2.0 * PI;
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let multipath = 0.3 * ((j as f64 * 0.2 + i as f64 * 0.5).sin());
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phase[[i, j]] = (linear_phase + multipath) % (2.0 * PI) - PI;
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}
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}
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CsiData::builder()
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.amplitude(amplitude)
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.phase(phase)
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.build()
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.unwrap()
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}
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/// Benchmark CSI preprocessing pipeline
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fn bench_csi_preprocessing(c: &mut Criterion) {
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let mut group = c.benchmark_group("CSI Preprocessing");
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group.measurement_time(Duration::from_secs(5));
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for &(antennas, subcarriers) in &[(4, 64), (4, 128), (8, 256)] {
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let config = CsiProcessorConfig::default();
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let processor = CsiProcessor::new(config).unwrap();
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let csi_data = create_csi_data(antennas, subcarriers);
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group.throughput(Throughput::Elements((antennas * subcarriers) as u64));
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group.bench_with_input(
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BenchmarkId::new("preprocess", format!("{}x{}", antennas, subcarriers)),
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&csi_data,
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|b, data| {
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b.iter(|| {
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processor.preprocess(black_box(data)).unwrap()
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});
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},
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);
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}
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group.finish();
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}
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/// Benchmark phase sanitization
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fn bench_phase_sanitization(c: &mut Criterion) {
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let mut group = c.benchmark_group("Phase Sanitization");
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group.measurement_time(Duration::from_secs(5));
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for &size in &[64, 128, 256, 512] {
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let config = PhaseSanitizerConfig::default();
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let mut sanitizer = PhaseSanitizer::new(config).unwrap();
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// Create wrapped phase data with discontinuities
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let mut phase_data = Array2::zeros((4, size));
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for i in 0..4 {
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for j in 0..size {
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let t = j as f64 / size as f64;
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// Create phase with wrapping
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phase_data[[i, j]] = (t * 8.0 * std::f64::consts::PI) % (2.0 * std::f64::consts::PI) - std::f64::consts::PI;
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}
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}
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group.throughput(Throughput::Elements((4 * size) as u64));
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group.bench_with_input(
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BenchmarkId::new("sanitize", format!("4x{}", size)),
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&phase_data,
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|b, data| {
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b.iter(|| {
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sanitizer.sanitize_phase(&black_box(data.clone())).unwrap()
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});
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},
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);
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}
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group.finish();
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}
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/// Benchmark feature extraction
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fn bench_feature_extraction(c: &mut Criterion) {
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let mut group = c.benchmark_group("Feature Extraction");
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group.measurement_time(Duration::from_secs(5));
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for &subcarriers in &[64, 128, 256] {
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let config = FeatureExtractorConfig::default();
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let extractor = FeatureExtractor::new(config);
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let csi_data = create_csi_data(4, subcarriers);
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group.throughput(Throughput::Elements(subcarriers as u64));
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group.bench_with_input(
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BenchmarkId::new("extract", format!("4x{}", subcarriers)),
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&csi_data,
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|b, data| {
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b.iter(|| {
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extractor.extract(black_box(data))
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});
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},
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);
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}
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group.finish();
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}
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/// Benchmark motion detection
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fn bench_motion_detection(c: &mut Criterion) {
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let mut group = c.benchmark_group("Motion Detection");
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group.measurement_time(Duration::from_secs(5));
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let config = MotionDetectorConfig::builder()
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.motion_threshold(0.3)
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.history_size(10)
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.build();
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let detector = MotionDetector::new(config);
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let extractor = FeatureExtractor::new(FeatureExtractorConfig::default());
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// Pre-extract features for benchmark
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let csi_data = create_csi_data(4, 64);
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let features = extractor.extract(&csi_data);
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group.throughput(Throughput::Elements(1));
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group.bench_function("analyze_motion", |b| {
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b.iter(|| {
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detector.analyze_motion(black_box(&features))
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});
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});
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group.finish();
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}
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/// Benchmark full pipeline
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fn bench_full_pipeline(c: &mut Criterion) {
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let mut group = c.benchmark_group("Full Pipeline");
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group.measurement_time(Duration::from_secs(10));
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let processor_config = CsiProcessorConfig::default();
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let processor = CsiProcessor::new(processor_config).unwrap();
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let sanitizer_config = PhaseSanitizerConfig::default();
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let mut sanitizer = PhaseSanitizer::new(sanitizer_config).unwrap();
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let extractor_config = FeatureExtractorConfig::default();
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let extractor = FeatureExtractor::new(extractor_config);
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let detector_config = MotionDetectorConfig::builder()
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.motion_threshold(0.3)
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.history_size(10)
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.build();
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let detector = MotionDetector::new(detector_config);
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let csi_data = create_csi_data(4, 64);
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group.throughput(Throughput::Elements(1));
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group.bench_function("complete_signal_pipeline", |b| {
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b.iter(|| {
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// 1. Preprocess CSI
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let processed = processor.preprocess(black_box(&csi_data)).unwrap();
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// 2. Sanitize phase
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let sanitized = sanitizer.sanitize_phase(&black_box(processed.phase.clone())).unwrap();
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// 3. Extract features
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let features = extractor.extract(black_box(&csi_data));
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// 4. Detect motion
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let _motion = detector.analyze_motion(black_box(&features));
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sanitized
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});
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});
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group.finish();
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}
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criterion_group!(
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benches,
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bench_csi_preprocessing,
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bench_phase_sanitization,
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bench_feature_extraction,
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bench_motion_detection,
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bench_full_pipeline,
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);
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criterion_main!(benches);
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