ruview-advanced-sensing

name ruview-advanced-sensing description Advanced RuView capabilities — RuvSense multistatic sensing (attention-weighted fusion, geometric diversity, persistent field model), cross-viewpoint fusion across multiple nodes, RF tomography (ISTA L1 solver, voxel grids), longitudinal biomechanics drift, pre-movement intention signals, adversarial signal detection, and multistatic mesh security hardening. Use for research-grade or multi-node deployments. allowed-tools Bash Read Write Edit Glob Grep 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.rs rejects physically impossible signals and cross-checks multi-link consistency. coherence_gate.rs quarantines 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-verify and docs/security-audit-wasm-edge-vendor.md ). Validate advanced changes cd 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