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WiFi-DensePose currently relies on passive Channel State Information (CSI) extracted from standard 802.11 traffic. CSI is one specific way of estimating a channel response, but it is fundamentally constrained by a protocol designed for throughput and interoperability -- not sensing.
What we actually care about is coherent multipath sensing -- measuring the complex-valued impulse response of the human-occupied channel with sufficient phase stability and micro-Doppler fidelity to reconstruct body surfaces and sub-millimeter physiological motion.
WiFi is optimized for throughput. DensePose is optimized for phase stability. Those goals are not aligned.
CHCI is a purpose-built coherent RF sensing protocol that trades compatibility for control. For sensing, that is a good trade.
What Makes This Different
The Problem with Passive WiFi CSI
Passive CSI sniffing suffers from six fundamental constraints that cannot be fixed in software:
MAC jitter: CSMA/CA random backoff creates non-uniform sample timing, aliasing Doppler measurements
Rate adaptation: MCS changes vary bandwidth and modulation between frames -- inconsistent subcarrier count per observation
LO phase drift: Independent oscillators at TX and RX inject ~5 degrees of phase noise on ESP32, limiting displacement sensitivity to ~0.87 mm at 2.4 GHz
Frame overhead: 802.11 headers, FCS, and preamble waste airtime that could carry sensing symbols
Bandwidth fragmentation: Channel bonding decisions by the AP change spectral coverage unpredictably
Multi-node asynchrony: No shared timing reference means TDM coordination requires statistical phase correction
These constraints impose a hard sensitivity floor. Breathing detection (4-12 mm chest displacement) is reliable. Heartbeat detection (0.2-0.5 mm) is marginal. Body surface reconstruction is limited to volumetric shadows rather than geometric contours.
The CHCI Approach
CHCI replaces passive CSI extraction with intentional, phase-coherent sounding. Six architectural pillars:
1. Intentional OFDM Sounding -- Transmit deterministic NDP (Null Data PPDU) frames at fixed cadence with known pilot structure, compliant with IEEE 802.11bf-2025 (published September 2025). No MAC jitter. No random rate adaptation. No variable bandwidth.
2. Phase-Locked Dual-Radio Architecture -- All nodes share a common reference clock (40 MHz TCXO + SI5351A PLL), distributed via coaxial cable. Both 40 MHz timing and 2.4/5 GHz phase reference signals are distributed. Phase variance drops from ~5 degrees (incoherent) to ~0.5 degrees (coherent). Displacement floor drops from 0.87 mm to 0.031 mm (with 8-antenna averaging).
3. Multi-Band Coherent Fusion -- Simultaneous sounding at 2.4 GHz and 5 GHz (optionally 6 GHz). Lower frequency penetrates walls. Higher frequency increases spatial resolution. Bands are fused contrastively in RuVector embedding space as projections of the same latent motion field, using body model priors to constrain cross-band phase relationships.
4. Time-Coded Micro-Bursts -- Very short (4-20 microsecond) deterministic OFDM bursts at 1-5 kHz cadence. This increases temporal resolution of Doppler shifts without full 802.11 frame overhead. Sensing bandwidth is limited by waveform design, not WiFi framing.
5. MIMO Geometry Optimization -- Antenna spacing tuned for human-scale wavelengths (lambda/4 = 3.125 cm at 2.4 GHz) rather than throughput diversity. L-shaped or linear phased arrays for angular resolution. 4 nodes x 4 antennas = 256 virtual MIMO channels via aperture synthesis.
6. Cognitive Waveform Adaptation -- The waveform adapts in real-time based on scene state. Six sensing modes (IDLE, ALERT, ACTIVE, VITAL, GESTURE, SLEEP) with hysteresis-controlled transitions driven by coherence delta from the body model. RF becomes event-driven. Power consumption drops 60-80% vs constant-rate sounding.
Features
Phase Coherence
Shared reference clock eliminates per-node LO drift
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Coherent Human Channel Imaging (CHCI)
WiFi-DensePose currently relies on passive Channel State Information (CSI) extracted from standard 802.11 traffic. CSI is one specific way of estimating a channel response, but it is fundamentally constrained by a protocol designed for throughput and interoperability -- not sensing.
What we actually care about is coherent multipath sensing -- measuring the complex-valued impulse response of the human-occupied channel with sufficient phase stability and micro-Doppler fidelity to reconstruct body surfaces and sub-millimeter physiological motion.
WiFi is optimized for throughput. DensePose is optimized for phase stability. Those goals are not aligned.
CHCI is a purpose-built coherent RF sensing protocol that trades compatibility for control. For sensing, that is a good trade.
What Makes This Different
The Problem with Passive WiFi CSI
Passive CSI sniffing suffers from six fundamental constraints that cannot be fixed in software:
These constraints impose a hard sensitivity floor. Breathing detection (4-12 mm chest displacement) is reliable. Heartbeat detection (0.2-0.5 mm) is marginal. Body surface reconstruction is limited to volumetric shadows rather than geometric contours.
The CHCI Approach
CHCI replaces passive CSI extraction with intentional, phase-coherent sounding. Six architectural pillars:
1. Intentional OFDM Sounding -- Transmit deterministic NDP (Null Data PPDU) frames at fixed cadence with known pilot structure, compliant with IEEE 802.11bf-2025 (published September 2025). No MAC jitter. No random rate adaptation. No variable bandwidth.
2. Phase-Locked Dual-Radio Architecture -- All nodes share a common reference clock (40 MHz TCXO + SI5351A PLL), distributed via coaxial cable. Both 40 MHz timing and 2.4/5 GHz phase reference signals are distributed. Phase variance drops from ~5 degrees (incoherent) to ~0.5 degrees (coherent). Displacement floor drops from 0.87 mm to 0.031 mm (with 8-antenna averaging).
3. Multi-Band Coherent Fusion -- Simultaneous sounding at 2.4 GHz and 5 GHz (optionally 6 GHz). Lower frequency penetrates walls. Higher frequency increases spatial resolution. Bands are fused contrastively in RuVector embedding space as projections of the same latent motion field, using body model priors to constrain cross-band phase relationships.
4. Time-Coded Micro-Bursts -- Very short (4-20 microsecond) deterministic OFDM bursts at 1-5 kHz cadence. This increases temporal resolution of Doppler shifts without full 802.11 frame overhead. Sensing bandwidth is limited by waveform design, not WiFi framing.
5. MIMO Geometry Optimization -- Antenna spacing tuned for human-scale wavelengths (lambda/4 = 3.125 cm at 2.4 GHz) rather than throughput diversity. L-shaped or linear phased arrays for angular resolution. 4 nodes x 4 antennas = 256 virtual MIMO channels via aperture synthesis.
6. Cognitive Waveform Adaptation -- The waveform adapts in real-time based on scene state. Six sensing modes (IDLE, ALERT, ACTIVE, VITAL, GESTURE, SLEEP) with hysteresis-controlled transitions driven by coherence delta from the body model. RF becomes event-driven. Power consumption drops 60-80% vs constant-rate sounding.
Features
Phase Coherence
Coherent Diffraction Tomography
Sub-Millimeter Vital Signs
Cognitive Waveform Engine
Regulatory Compliance
Hardware Cost
Capabilities
Key Differences from Existing Systems
ADR and DDD Documentation
ADR-042
Full Architecture Decision Record at
docs/adr/ADR-042-coherent-human-channel-imaging.mdSix architectural pillars, acceptance tests AT-1 through AT-8, hardware BOM ($4.25/node), 6 implementation phases (~24 weeks), module impact matrix, new crate architecture, 23 references.
DDD Domain Model
Full domain model at
docs/ddd/chci-domain-model.mdSix bounded contexts (Waveform Generation, Clock Synchronization, Coherent Signal Processing, Cognitive Waveform, Displacement Measurement, Regulatory Compliance), 16 ubiquitous language terms, Rust struct/enum definitions, domain events, context map with anti-corruption layers.
Acceptance Criteria
Primary: Demonstrate 0.1 mm displacement detection repeatably at 2 meters in a static controlled room.
Design Questions
Related ADRs
ADR-014, ADR-017, ADR-029, ADR-039, ADR-040, ADR-041
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