RuView Advanced Sensing
The deep end: multistatic mesh, tomography, persistent field models, and the security model that protects them. Most of this lives in wifi-densepose-signal/src/ruvsense/ (14 modules) and wifi-densepose-ruvector/src/viewpoint/ (5 modules).
RuvSense multistatic mode (ADR-029)
Treat every WiFi link in range — including neighbours' APs — as a bistatic radar pair, then fuse them.
Module (signal/src/ruvsense/) | Purpose |
|---|---|
multiband.rs | Multi-band CSI frame fusion, cross-channel coherence |
phase_align.rs | Iterative LO phase-offset estimation, circular mean |
multistatic.rs | Attention-weighted fusion, geometric diversity |
coherence.rs / coherence_gate.rs | Z-score coherence scoring; Accept / PredictOnly / Reject / Recalibrate gate decisions |
pose_tracker.rs | 17-keypoint Kalman tracker with AETHER re-ID embeddings |
field_model.rs | SVD room eigenstructure, perturbation extraction |
tomography.rs | RF tomography, ISTA L1 solver, voxel grid |
longitudinal.rs | Welford stats, biomechanics drift detection |
intention.rs | Pre-movement lead signals (200–500 ms ahead) |
cross_room.rs | Environment fingerprinting, transition graph |
gesture.rs | DTW template-matching gesture classifier |
adversarial.rs | Physically-impossible-signal detection, multi-link consistency |
Cross-viewpoint fusion (ADR-016 viewpoint module)
Combine 2+ nodes geometrically — more nodes, more independent looks, tighter localization.
Module (ruvector/src/viewpoint/) | Purpose |
|---|---|
attention.rs | CrossViewpointAttention, GeometricBias, softmax with G_bias |
geometry.rs | GeometricDiversityIndex, Cramér–Rao bounds, Fisher Information |
coherence.rs | Phase-phasor coherence, hysteresis gate |
fusion.rs | MultistaticArray aggregate root, domain events |
Host-side helpers to explore the geometry before deploying: node scripts/mesh-graph-transformer.js, node scripts/passive-radar.js, node scripts/deep-scan.js.
Persistent field model (ADR-030)
field_model.rs builds an SVD eigenstructure of the room and stores it (RVF, ideally on a Cognitum Seed). New CSI frames are projected against it; the residual is the perturbation. Lets you ask "what's different from the empty-room baseline?" and survive restarts.
RF tomography
tomography.rs reconstructs a voxel occupancy grid from the multistatic link set via an ISTA L1 solver (sparse — most voxels are empty). Use with cross-viewpoint geometry for through-wall volumetric imaging. RuVector solver crates back the sparse interpolation (114→56 subcarriers).
Sensing-first RF mode & adaptive mesh kernel
- ADR-031 (RuView sensing-first RF mode), ADR-081 (adaptive CSI mesh firmware kernel), ADR-083 (per-cluster π compute hop), ADR-095/096 (on-ESP32 temporal modeling with sparse GQA attention — runs the temporal head on-device).
Security (ADR-032 — multistatic mesh hardening)
Using neighbours' APs as illuminators and pooling links across a mesh expands the attack surface. Mitigations:
adversarial.rsrejects physically impossible signals and cross-checks multi-link consistency.coherence_gate.rsquarantines low-coherence / suspicious links (Reject / Recalibrate).- Ed25519 witness chain (ADR-028) attests every measurement.
- Run a security review when touching anything on the hardware/network boundary (see
ruview-verifyanddocs/security-audit-wasm-edge-vendor.md).
Validate advanced changes
bashcd v2 && cargo test --workspace --no-default-features # incl. ruvsense + viewpoint tests cargo test -p wifi-densepose-signal --no-default-features cargo test -p wifi-densepose-ruvector --no-default-features cd .. && python archive/v1/data/proof/verify.py
Reference
- ADRs: 014 (SOTA signal processing), 029 (multistatic mode), 030 (persistent field model), 031 (sensing-first RF), 032 (mesh security hardening), 081/083/095/096
v2/crates/wifi-densepose-signal/src/ruvsense/·v2/crates/wifi-densepose-ruvector/src/viewpoint/docs/research/,docs/security-audit-wasm-edge-vendor.md
