wifi-densepose/examples/research-sota
rUv 719875ea1d
research(R6.2): Fresnel-aware antenna placement — 93x sensing-coverage lift from physics alone (#719)
First deferred follow-up from R6. Productises R6's Fresnel forward model
into a 2D placement-search CLI: given a room + target occupancy zones,
recommend Tx/Rx positions that maximise first-Fresnel coverage.

Benchmark on 5x5 m bedroom (bed 3 m^2 + chair 0.64 m^2, 2900 pairs
evaluated at 2.4 GHz):
- OPTIMAL: 51.1% coverage (Tx 1.25,0; Rx 4.75,5; diagonal 6.10 m link)
- MEDIAN:  0.5% coverage
- WORST:   0.0% coverage
- 93x improvement, median to optimal

Counter-intuitive insight: longer links cover MORE space. Fresnel envelope
width = sqrt(d * lambda) / 2 grows with link length, so the 6.10 m
diagonal beats wall-parallel 5.00 m links. Up to the R10 link-budget
gate.

Per-cog deployment recommendations:
- cog-person-count: diagonal across longest axis
- cog-pose: zone inside ~50% midpoint envelope
- AETHER re-ID: Tx near doorway, Rx diagonal
- cog-maritime-watch: vertical diagonal through cabin
- cog-wildlife (future): Tx/Rx opposite trees, threading clearing midline

Improvements come from physics, not algorithms - no model retraining
needed. Existing customers can re-mount seeds today for 10-100x better
sensing.

Honest scope: 2D approximation, free-space, rectangular zones, single-pair
only, perimeter-only candidates, no link-budget gate.

CLI shape ready for productisation as 'wifi-densepose plan-antennas'.
Also surfaces as a deferred MCP tool 'ruview_placement_recommend'.

Composes with:
- R6 (direct 2D extension)
- R1 (placement x precision = full geometry budget)
- R10 (sets the link-budget gate this ignores)
- R11 (same recipe in steel cabins)
- R14 (determines whether V1/V2/V3 see the right occupant)
- ADR-105 (better placement = faster epsilon convergence)

Next R6.2 follow-ups catalogued: R6.2.1 (3D), R6.2.2 (N-anchor union),
R6.2.3 (pose-trajectory target zones).

Coordination: ticks/tick-16.md, no PROGRESS.md edit.
2026-05-22 03:04:17 -04:00
..
r1_toa_crlb.py research(R1): ToA CRLB — precision floor for WiFi multistatic localisation (#711) 2026-05-22 01:38:35 -04:00
r1_toa_crlb_results.json research(R1): ToA CRLB — precision floor for WiFi multistatic localisation (#711) 2026-05-22 01:38:35 -04:00
r3_crossroom_reid.py research(R3): cross-room re-ID — MERIDIAN closes the env-shift gap + 4 privacy constraints (#715) 2026-05-22 02:13:10 -04:00
r3_reid_results.json research(R3): cross-room re-ID — MERIDIAN closes the env-shift gap + 4 privacy constraints (#715) 2026-05-22 02:13:10 -04:00
r5_subcarrier_saliency.py research(sota): kick off SOTA research loop + first R5 saliency measurement (#702) 2026-05-21 23:05:55 -04:00
r6_2_antenna_placement.py research(R6.2): Fresnel-aware antenna placement — 93x sensing-coverage lift from physics alone (#719) 2026-05-22 03:04:17 -04:00
r6_2_placement_results.json research(R6.2): Fresnel-aware antenna placement — 93x sensing-coverage lift from physics alone (#719) 2026-05-22 03:04:17 -04:00
r6_fresnel_results.json research(R6): Fresnel-zone forward model — bedrock physics for CSI sensitivity (#710) 2026-05-22 01:31:09 -04:00
r6_fresnel_zone.py research(R6): Fresnel-zone forward model — bedrock physics for CSI sensitivity (#710) 2026-05-22 01:31:09 -04:00
r7_multilink_consistency.py research(R7): Stoer-Wagner mincut detects adversarial CSI nodes 3/3 in synthetic (#704) 2026-05-21 23:28:46 -04:00
r7_multilink_consistency_results.json research(R7): Stoer-Wagner mincut detects adversarial CSI nodes 3/3 in synthetic (#704) 2026-05-21 23:28:46 -04:00
r8_rssi_only_count.py research(R8): RSSI-only person count retains 95% of full-CSI accuracy (#703) 2026-05-21 23:18:09 -04:00
r8_rssi_only_results.json research(R8): RSSI-only person count retains 95% of full-CSI accuracy (#703) 2026-05-21 23:18:09 -04:00
r9_rssi_fingerprint_knn.py feat(tools/ruview-mcp): M2 — wire real inference via cog health (#706) 2026-05-21 23:43:32 -04:00
r9_rssi_fingerprint_results.json feat(tools/ruview-mcp): M2 — wire real inference via cog health (#706) 2026-05-21 23:43:32 -04:00
r10_foliage_attenuation.py research(R10): through-foliage wildlife sensing — physics feasibility + per-species gait taxonomy 2026-05-22 00:59:11 -04:00
r10_foliage_results.json research(R10): through-foliage wildlife sensing — physics feasibility + per-species gait taxonomy 2026-05-22 00:59:11 -04:00
r11_maritime_propagation.py research(R11): maritime sensing — through-bulkhead impossible, through-seam works (#712) 2026-05-22 01:53:51 -04:00
r11_maritime_results.json research(R11): maritime sensing — through-bulkhead impossible, through-seam works (#712) 2026-05-22 01:53:51 -04:00
r12_rf_weather_eigenshift.py research(R12): RF weather mapping eigenshift — negative-ish, with clearly-actionable revision path (#707) 2026-05-21 23:52:49 -04:00
r12_rf_weather_results.json research(R12): RF weather mapping eigenshift — negative-ish, with clearly-actionable revision path (#707) 2026-05-21 23:52:49 -04:00
r13_bp_physics_floor.py research(R13): NEGATIVE — contactless BP from CSI is physically inferior to a cuff (#713) 2026-05-22 02:00:35 -04:00
r13_bp_results.json research(R13): NEGATIVE — contactless BP from CSI is physically inferior to a cuff (#713) 2026-05-22 02:00:35 -04:00