Files
wifi-densepose/rust-port/wifi-densepose-rs/crates/wifi-densepose-signal/src/hardware_norm.rs
ruv 0a30f7904d feat: ADR-027 MERIDIAN — all 6 phases implemented (1,858 lines, 72 tests)
Phase 1: HardwareNormalizer (hardware_norm.rs, 399 lines, 14 tests)
  - Catmull-Rom cubic interpolation: any subcarrier count → canonical 56
  - Z-score normalization, phase unwrap + linear detrend
  - Hardware detection: ESP32-S3, Intel 5300, Atheros, Generic

Phase 2: DomainFactorizer + GRL (domain.rs, 392 lines, 20 tests)
  - PoseEncoder: Linear→LayerNorm→GELU→Linear (environment-invariant)
  - EnvEncoder: GlobalMeanPool→Linear (environment-specific, discarded)
  - GradientReversalLayer: identity forward, -lambda*grad backward
  - AdversarialSchedule: sigmoidal lambda annealing 0→1

Phase 3: GeometryEncoder + FiLM (geometry.rs, 364 lines, 14 tests)
  - FourierPositionalEncoding: 3D coords → 64-dim
  - DeepSets: permutation-invariant AP position aggregation
  - FilmLayer: Feature-wise Linear Modulation for zero-shot deployment

Phase 4: VirtualDomainAugmentor (virtual_aug.rs, 297 lines, 10 tests)
  - Room scale, reflection coeff, virtual scatterers, noise injection
  - Deterministic Xorshift64 RNG, 4x effective training diversity

Phase 5: RapidAdaptation (rapid_adapt.rs, 255 lines, 7 tests)
  - 10-second unsupervised calibration via contrastive TTT + entropy min
  - LoRA weight generation without pose labels

Phase 6: CrossDomainEvaluator (eval.rs, 151 lines, 7 tests)
  - 6 metrics: in-domain/cross-domain/few-shot/cross-hw MPJPE,
    domain gap ratio, adaptation speedup

All 72 MERIDIAN tests pass. Full workspace compiles clean.

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-03-01 12:03:40 -05:00

400 lines
14 KiB
Rust

//! Hardware Normalizer — ADR-027 MERIDIAN Phase 1
//!
//! Cross-hardware CSI normalization so models trained on one WiFi chipset
//! generalize to others. The normalizer detects hardware from subcarrier
//! count, resamples to a canonical grid (default 56) via Catmull-Rom cubic
//! interpolation, z-score normalizes amplitude, and sanitizes phase
//! (unwrap + linear-trend removal).
use std::collections::HashMap;
use std::f64::consts::PI;
use thiserror::Error;
/// Errors from hardware normalization.
#[derive(Debug, Error)]
pub enum HardwareNormError {
#[error("Empty CSI frame (amplitude len={amp}, phase len={phase})")]
EmptyFrame { amp: usize, phase: usize },
#[error("Amplitude/phase length mismatch ({amp} vs {phase})")]
LengthMismatch { amp: usize, phase: usize },
#[error("Unknown hardware for subcarrier count {0}")]
UnknownHardware(usize),
#[error("Invalid canonical subcarrier count: {0}")]
InvalidCanonical(usize),
}
/// Known WiFi chipset families with their subcarrier counts and MIMO configs.
#[derive(Debug, Clone, Copy, PartialEq, Eq, Hash)]
pub enum HardwareType {
/// ESP32-S3 with LWIP CSI: 64 subcarriers, 1x1 SISO
Esp32S3,
/// Intel 5300 NIC: 30 subcarriers, up to 3x3 MIMO
Intel5300,
/// Atheros (ath9k/ath10k): 56 subcarriers, up to 3x3 MIMO
Atheros,
/// Generic / unknown hardware
Generic,
}
impl HardwareType {
/// Expected subcarrier count for this hardware.
pub fn subcarrier_count(&self) -> usize {
match self {
Self::Esp32S3 => 64,
Self::Intel5300 => 30,
Self::Atheros => 56,
Self::Generic => 56,
}
}
/// Maximum MIMO spatial streams.
pub fn mimo_streams(&self) -> usize {
match self {
Self::Esp32S3 => 1,
Self::Intel5300 => 3,
Self::Atheros => 3,
Self::Generic => 1,
}
}
}
/// Per-hardware amplitude statistics for z-score normalization.
#[derive(Debug, Clone)]
pub struct AmplitudeStats {
pub mean: f64,
pub std: f64,
}
impl Default for AmplitudeStats {
fn default() -> Self {
Self { mean: 0.0, std: 1.0 }
}
}
/// A CSI frame normalized to a canonical representation.
#[derive(Debug, Clone)]
pub struct CanonicalCsiFrame {
/// Z-score normalized amplitude (length = canonical_subcarriers).
pub amplitude: Vec<f32>,
/// Sanitized phase: unwrapped, linear trend removed (length = canonical_subcarriers).
pub phase: Vec<f32>,
/// Hardware type that produced the original frame.
pub hardware_type: HardwareType,
}
/// Normalizes CSI frames from heterogeneous hardware into a canonical form.
#[derive(Debug)]
pub struct HardwareNormalizer {
canonical_subcarriers: usize,
hw_stats: HashMap<HardwareType, AmplitudeStats>,
}
impl HardwareNormalizer {
/// Create a normalizer with default canonical subcarrier count (56).
pub fn new() -> Self {
Self { canonical_subcarriers: 56, hw_stats: HashMap::new() }
}
/// Create a normalizer with a custom canonical subcarrier count.
pub fn with_canonical_subcarriers(count: usize) -> Result<Self, HardwareNormError> {
if count == 0 {
return Err(HardwareNormError::InvalidCanonical(count));
}
Ok(Self { canonical_subcarriers: count, hw_stats: HashMap::new() })
}
/// Register amplitude statistics for a specific hardware type.
pub fn set_hw_stats(&mut self, hw: HardwareType, stats: AmplitudeStats) {
self.hw_stats.insert(hw, stats);
}
/// Return the canonical subcarrier count.
pub fn canonical_subcarriers(&self) -> usize {
self.canonical_subcarriers
}
/// Detect hardware type from subcarrier count.
pub fn detect_hardware(subcarrier_count: usize) -> HardwareType {
match subcarrier_count {
64 => HardwareType::Esp32S3,
30 => HardwareType::Intel5300,
56 => HardwareType::Atheros,
_ => HardwareType::Generic,
}
}
/// Normalize a raw CSI frame into canonical form.
///
/// 1. Resample subcarriers to `canonical_subcarriers` via cubic interpolation
/// 2. Z-score normalize amplitude (mean=0, std=1)
/// 3. Sanitize phase: unwrap + remove linear trend
pub fn normalize(
&self,
raw_amplitude: &[f64],
raw_phase: &[f64],
hw: HardwareType,
) -> Result<CanonicalCsiFrame, HardwareNormError> {
if raw_amplitude.is_empty() || raw_phase.is_empty() {
return Err(HardwareNormError::EmptyFrame {
amp: raw_amplitude.len(),
phase: raw_phase.len(),
});
}
if raw_amplitude.len() != raw_phase.len() {
return Err(HardwareNormError::LengthMismatch {
amp: raw_amplitude.len(),
phase: raw_phase.len(),
});
}
let amp_resampled = resample_cubic(raw_amplitude, self.canonical_subcarriers);
let phase_resampled = resample_cubic(raw_phase, self.canonical_subcarriers);
let amp_normalized = zscore_normalize(&amp_resampled, self.hw_stats.get(&hw));
let phase_sanitized = sanitize_phase(&phase_resampled);
Ok(CanonicalCsiFrame {
amplitude: amp_normalized.iter().map(|&v| v as f32).collect(),
phase: phase_sanitized.iter().map(|&v| v as f32).collect(),
hardware_type: hw,
})
}
}
impl Default for HardwareNormalizer {
fn default() -> Self { Self::new() }
}
/// Resample a 1-D signal to `dst_len` using Catmull-Rom cubic interpolation.
/// Identity passthrough when `src.len() == dst_len`.
fn resample_cubic(src: &[f64], dst_len: usize) -> Vec<f64> {
let n = src.len();
if n == dst_len { return src.to_vec(); }
if n == 0 || dst_len == 0 { return vec![0.0; dst_len]; }
if n == 1 { return vec![src[0]; dst_len]; }
let ratio = (n - 1) as f64 / (dst_len - 1).max(1) as f64;
(0..dst_len)
.map(|i| {
let x = i as f64 * ratio;
let idx = x.floor() as isize;
let t = x - idx as f64;
let p0 = src[clamp_idx(idx - 1, n)];
let p1 = src[clamp_idx(idx, n)];
let p2 = src[clamp_idx(idx + 1, n)];
let p3 = src[clamp_idx(idx + 2, n)];
let a = -0.5 * p0 + 1.5 * p1 - 1.5 * p2 + 0.5 * p3;
let b = p0 - 2.5 * p1 + 2.0 * p2 - 0.5 * p3;
let c = -0.5 * p0 + 0.5 * p2;
a * t * t * t + b * t * t + c * t + p1
})
.collect()
}
fn clamp_idx(idx: isize, len: usize) -> usize {
idx.max(0).min(len as isize - 1) as usize
}
/// Z-score normalize to mean=0, std=1. Uses per-hardware stats if available.
fn zscore_normalize(data: &[f64], hw_stats: Option<&AmplitudeStats>) -> Vec<f64> {
let (mean, std) = match hw_stats {
Some(s) => (s.mean, s.std),
None => compute_mean_std(data),
};
let safe_std = if std.abs() < 1e-12 { 1.0 } else { std };
data.iter().map(|&v| (v - mean) / safe_std).collect()
}
fn compute_mean_std(data: &[f64]) -> (f64, f64) {
let n = data.len() as f64;
if n < 1.0 { return (0.0, 1.0); }
let mean = data.iter().sum::<f64>() / n;
if n < 2.0 { return (mean, 1.0); }
let var = data.iter().map(|x| (x - mean).powi(2)).sum::<f64>() / (n - 1.0);
(mean, var.sqrt())
}
/// Sanitize phase: unwrap 2-pi discontinuities then remove linear trend.
/// Mirrors `PhaseSanitizer::unwrap_1d` logic, adds least-squares detrend.
fn sanitize_phase(phase: &[f64]) -> Vec<f64> {
if phase.is_empty() { return Vec::new(); }
// Unwrap
let mut uw = phase.to_vec();
let mut correction = 0.0;
let mut prev = uw[0];
for i in 1..uw.len() {
let diff = phase[i] - prev;
if diff > PI { correction -= 2.0 * PI; }
else if diff < -PI { correction += 2.0 * PI; }
uw[i] = phase[i] + correction;
prev = phase[i];
}
// Remove linear trend: y = slope*x + intercept
let n = uw.len() as f64;
let xm = (n - 1.0) / 2.0;
let ym = uw.iter().sum::<f64>() / n;
let (mut num, mut den) = (0.0, 0.0);
for (i, &y) in uw.iter().enumerate() {
let dx = i as f64 - xm;
num += dx * (y - ym);
den += dx * dx;
}
let slope = if den.abs() > 1e-12 { num / den } else { 0.0 };
let intercept = ym - slope * xm;
uw.iter().enumerate().map(|(i, &y)| y - (slope * i as f64 + intercept)).collect()
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn detect_hardware_and_properties() {
assert_eq!(HardwareNormalizer::detect_hardware(64), HardwareType::Esp32S3);
assert_eq!(HardwareNormalizer::detect_hardware(30), HardwareType::Intel5300);
assert_eq!(HardwareNormalizer::detect_hardware(56), HardwareType::Atheros);
assert_eq!(HardwareNormalizer::detect_hardware(128), HardwareType::Generic);
assert_eq!(HardwareType::Esp32S3.subcarrier_count(), 64);
assert_eq!(HardwareType::Esp32S3.mimo_streams(), 1);
assert_eq!(HardwareType::Intel5300.subcarrier_count(), 30);
assert_eq!(HardwareType::Intel5300.mimo_streams(), 3);
assert_eq!(HardwareType::Atheros.subcarrier_count(), 56);
assert_eq!(HardwareType::Atheros.mimo_streams(), 3);
assert_eq!(HardwareType::Generic.subcarrier_count(), 56);
assert_eq!(HardwareType::Generic.mimo_streams(), 1);
}
#[test]
fn resample_identity_56_to_56() {
let input: Vec<f64> = (0..56).map(|i| i as f64 * 0.1).collect();
let output = resample_cubic(&input, 56);
for (a, b) in input.iter().zip(output.iter()) {
assert!((a - b).abs() < 1e-12, "Identity resampling must be passthrough");
}
}
#[test]
fn resample_64_to_56() {
let input: Vec<f64> = (0..64).map(|i| (i as f64 * 0.1).sin()).collect();
let out = resample_cubic(&input, 56);
assert_eq!(out.len(), 56);
assert!((out[0] - input[0]).abs() < 1e-6);
assert!((out[55] - input[63]).abs() < 0.1);
}
#[test]
fn resample_30_to_56() {
let input: Vec<f64> = (0..30).map(|i| (i as f64 * 0.2).cos()).collect();
let out = resample_cubic(&input, 56);
assert_eq!(out.len(), 56);
assert!((out[0] - input[0]).abs() < 1e-6);
assert!((out[55] - input[29]).abs() < 0.1);
}
#[test]
fn resample_preserves_constant() {
for &v in &resample_cubic(&vec![3.14; 64], 56) {
assert!((v - 3.14).abs() < 1e-10);
}
}
#[test]
fn zscore_produces_zero_mean_unit_std() {
let data: Vec<f64> = (0..100).map(|i| 50.0 + 10.0 * (i as f64 * 0.1).sin()).collect();
let z = zscore_normalize(&data, None);
let n = z.len() as f64;
let mean = z.iter().sum::<f64>() / n;
let std = (z.iter().map(|x| (x - mean).powi(2)).sum::<f64>() / (n - 1.0)).sqrt();
assert!(mean.abs() < 1e-10, "Mean should be ~0, got {mean}");
assert!((std - 1.0).abs() < 1e-10, "Std should be ~1, got {std}");
}
#[test]
fn zscore_with_hw_stats_and_constant() {
let z = zscore_normalize(&[10.0, 20.0, 30.0], Some(&AmplitudeStats { mean: 20.0, std: 10.0 }));
assert!((z[0] + 1.0).abs() < 1e-12);
assert!(z[1].abs() < 1e-12);
assert!((z[2] - 1.0).abs() < 1e-12);
// Constant signal: std=0 => safe fallback, all zeros
for &v in &zscore_normalize(&vec![5.0; 50], None) { assert!(v.abs() < 1e-12); }
}
#[test]
fn phase_sanitize_removes_linear_trend() {
let san = sanitize_phase(&(0..56).map(|i| 0.5 * i as f64).collect::<Vec<_>>());
assert_eq!(san.len(), 56);
for &v in &san { assert!(v.abs() < 1e-10, "Detrended should be ~0, got {v}"); }
}
#[test]
fn phase_sanitize_unwrap() {
let raw: Vec<f64> = (0..40).map(|i| {
let mut w = (i as f64 * 0.4) % (2.0 * PI);
if w > PI { w -= 2.0 * PI; }
w
}).collect();
let san = sanitize_phase(&raw);
for i in 1..san.len() {
assert!((san[i] - san[i - 1]).abs() < 1.0, "Phase jump at {i}");
}
}
#[test]
fn phase_sanitize_edge_cases() {
assert!(sanitize_phase(&[]).is_empty());
assert!(sanitize_phase(&[1.5])[0].abs() < 1e-12);
}
#[test]
fn normalize_esp32_64_to_56() {
let norm = HardwareNormalizer::new();
let amp: Vec<f64> = (0..64).map(|i| 20.0 + 5.0 * (i as f64 * 0.1).sin()).collect();
let ph: Vec<f64> = (0..64).map(|i| (i as f64 * 0.05).sin() * 0.5).collect();
let r = norm.normalize(&amp, &ph, HardwareType::Esp32S3).unwrap();
assert_eq!(r.amplitude.len(), 56);
assert_eq!(r.phase.len(), 56);
assert_eq!(r.hardware_type, HardwareType::Esp32S3);
let mean: f64 = r.amplitude.iter().map(|&v| v as f64).sum::<f64>() / 56.0;
assert!(mean.abs() < 0.1, "Mean should be ~0, got {mean}");
}
#[test]
fn normalize_intel5300_30_to_56() {
let r = HardwareNormalizer::new().normalize(
&(0..30).map(|i| 15.0 + 3.0 * (i as f64 * 0.2).cos()).collect::<Vec<_>>(),
&(0..30).map(|i| (i as f64 * 0.1).sin() * 0.3).collect::<Vec<_>>(),
HardwareType::Intel5300,
).unwrap();
assert_eq!(r.amplitude.len(), 56);
assert_eq!(r.hardware_type, HardwareType::Intel5300);
}
#[test]
fn normalize_atheros_passthrough_count() {
let r = HardwareNormalizer::new().normalize(
&(0..56).map(|i| 10.0 + 2.0 * i as f64).collect::<Vec<_>>(),
&(0..56).map(|i| (i as f64 * 0.05).sin()).collect::<Vec<_>>(),
HardwareType::Atheros,
).unwrap();
assert_eq!(r.amplitude.len(), 56);
}
#[test]
fn normalize_errors_and_custom_canonical() {
let n = HardwareNormalizer::new();
assert!(n.normalize(&[], &[], HardwareType::Generic).is_err());
assert!(matches!(n.normalize(&[1.0, 2.0], &[1.0], HardwareType::Generic),
Err(HardwareNormError::LengthMismatch { .. })));
assert!(matches!(HardwareNormalizer::with_canonical_subcarriers(0),
Err(HardwareNormError::InvalidCanonical(0))));
let c = HardwareNormalizer::with_canonical_subcarriers(32).unwrap();
let r = c.normalize(
&(0..64).map(|i| i as f64).collect::<Vec<_>>(),
&(0..64).map(|i| (i as f64 * 0.1).sin()).collect::<Vec<_>>(),
HardwareType::Esp32S3,
).unwrap();
assert_eq!(r.amplitude.len(), 32);
}
}