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
1---2name: ruview-advanced-sensing3description: 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.4---5
6# RuView Advanced Sensing
7
8The 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).
9
10## RuvSense multistatic mode (ADR-029)
11
12Treat every WiFi link in range — including neighbours' APs — as a bistatic radar pair, then fuse them.
13
14| Module (`signal/src/ruvsense/`) | Purpose |
15|--------------------------------|---------|
16| `multiband.rs` | Multi-band CSI frame fusion, cross-channel coherence |
17| `phase_align.rs` | Iterative LO phase-offset estimation, circular mean |
18| `multistatic.rs` | Attention-weighted fusion, geometric diversity |
19| `coherence.rs` / `coherence_gate.rs` | Z-score coherence scoring; Accept / PredictOnly / Reject / Recalibrate gate decisions |
20| `pose_tracker.rs` | 17-keypoint Kalman tracker with AETHER re-ID embeddings |
21| `field_model.rs` | SVD room eigenstructure, perturbation extraction |
22| `tomography.rs` | RF tomography, ISTA L1 solver, voxel grid |
23| `longitudinal.rs` | Welford stats, biomechanics drift detection |
24| `intention.rs` | Pre-movement lead signals (200–500 ms ahead) |
25| `cross_room.rs` | Environment fingerprinting, transition graph |
26| `gesture.rs` | DTW template-matching gesture classifier |
27| `adversarial.rs` | Physically-impossible-signal detection, multi-link consistency |
28
29## Cross-viewpoint fusion (ADR-016 viewpoint module)
30
31Combine 2+ nodes geometrically — more nodes, more independent looks, tighter localization.
32
33| Module (`ruvector/src/viewpoint/`) | Purpose |
34|------------------------------------|---------|
35| `attention.rs` | CrossViewpointAttention, GeometricBias, softmax with `G_bias` |
36| `geometry.rs` | GeometricDiversityIndex, Cramér–Rao bounds, Fisher Information |
37| `coherence.rs` | Phase-phasor coherence, hysteresis gate |
38| `fusion.rs` | MultistaticArray aggregate root, domain events |
39
40Host-side helpers to explore the geometry before deploying: `node scripts/mesh-graph-transformer.js`, `node scripts/passive-radar.js`, `node scripts/deep-scan.js`.
41
42## Persistent field model (ADR-030)
43
44`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.
45
46## RF tomography
47
48`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).
49
50## Sensing-first RF mode & adaptive mesh kernel
51
52- 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).
53
54## Security (ADR-032 — multistatic mesh hardening)
55
56Using neighbours' APs as illuminators and pooling links across a mesh expands the attack surface. Mitigations:
57- `adversarial.rs` rejects physically impossible signals and cross-checks multi-link consistency.
58- `coherence_gate.rs` quarantines low-coherence / suspicious links (Reject / Recalibrate).
59- Ed25519 witness chain (ADR-028) attests every measurement.
60- Run a security review when touching anything on the hardware/network boundary (see `ruview-verify` and `docs/security-audit-wasm-edge-vendor.md`).
61
62## Validate advanced changes
63
64```bash
65cd v2 && cargo test --workspace --no-default-features # incl. ruvsense + viewpoint tests
66cargo test -p wifi-densepose-signal --no-default-features
67cargo test -p wifi-densepose-ruvector --no-default-features
68cd .. && python archive/v1/data/proof/verify.py
69```
70
71## Reference
72
73- ADRs: 014 (SOTA signal processing), 029 (multistatic mode), 030 (persistent field model), 031 (sensing-first RF), 032 (mesh security hardening), 081/083/095/096
74- `v2/crates/wifi-densepose-signal/src/ruvsense/` · `v2/crates/wifi-densepose-ruvector/src/viewpoint/`
75- `docs/research/`, `docs/security-audit-wasm-edge-vendor.md`
gabrielmoreira