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ruv 2e742305ba research(R10): through-foliage wildlife sensing — physics feasibility + per-species gait taxonomy
ITU-R P.833-9 vegetation-attenuation model + ESP32-S3 link-budget
solver produce bounded sensing range estimates per frequency and
foliage density. Plus a biomechanics-grounded gait-frequency taxonomy
spanning bears (0.5 Hz) to mice (15 Hz).

Headline ranges (121 dB link budget, 10 dB SNR margin):

  freq    sparse   moderate   dense
  2.4 GHz 99.6 m   12.0 m     4.1 m
  5 GHz   19.9 m   5.2 m      2.1 m

The 2.4 GHz / sparse cell (~100 m) is the practical sweet spot —
10x camera-trap coverage, always-on rather than PIR-triggered.

Honest scope called out explicitly: this is feasibility math, not
field measurements. Animal cooperation, foliage flutter, regulatory
limits, and BSSID-fingerprint degradation in remote forest are all
real follow-up problems.

Vertical applications (10-20 year horizon) catalogued:
- Endangered-species population census
- Wildlife corridor verification
- Invasive-species early warning
- Anti-poaching (human gait well-separated from wildlife)
- Livestock-on-rangeland tracking
- Agricultural pest control

Cross-connects to:
- R5 (saliency is task-specific — per-species classifier needs own
  saliency map, same lesson as R12)
- R8 (wildlife sensing wants CSI not RSSI for per-subcarrier shape)
- R9 (fingerprint K-NN primitive transfers to per-individual ID)
- R7 (multi-link consistency for corridor coverage)

Pure-NumPy, no framework deps. ITU model + binary search solver.
Coordination: tick avoided PROGRESS.md to prevent races (horizon-
tracker M3+ track concurrent at the time).

Files:
* examples/research-sota/r10_foliage_attenuation.py
* examples/research-sota/r10_foliage_results.json
* docs/research/sota-2026-05-22/R10-through-foliage-wildlife.md
* docs/research/sota-2026-05-22/ticks/tick-6.md
2026-05-22 00:59:11 -04:00

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Tick 6 — 2026-05-22 03:55 UTC

Thread: R10 (through-foliage wildlife sensing) Verdict: Physics feasibility + per-species gait taxonomy + bounded range estimates.

What shipped

  • examples/research-sota/r10_foliage_attenuation.py — ITU-R P.833-9 vegetation attenuation model + ESP32-S3 link-budget solver + per-species gait band table.
  • examples/research-sota/r10_foliage_results.json — full machine-readable numbers.
  • docs/research/sota-2026-05-22/R10-through-foliage-wildlife.md — research note with range table, gait taxonomy, vertical applications, honest scope.

Headline numbers (this tick)

Max ESP32-S3 sensing range through foliage (121 dB link budget, 10 dB SNR margin):

Frequency Sparse Moderate Dense
2.4 GHz 99.6 m 12.0 m 4.1 m
5 GHz 19.9 m 5.2 m 2.1 m

The 2.4 GHz / sparse cell (~100 m) is the practical sweet spot — 10× the spatial coverage of a camera trap in matched conditions, always-on rather than PIR-triggered.

Per-species gait taxonomy (DSP-actionable):

  • 0.51.5 Hz: bear, sloth, wild boar
  • 1.22.5 Hz: human walking
  • 1.53.5 Hz: elk, raccoon, wolf
  • 1.84.5 Hz: deer, fox
  • 4.015.0 Hz: squirrel, mouse, songbird

10-20 year verticals catalogued

  • Endangered-species population census (replaces camera traps)
  • Wildlife corridor verification
  • Invasive-species early warning
  • Poaching detection (human gait band well-separated from wildlife)
  • Livestock-on-rangeland tracking
  • Agricultural pest control

Coordination

Tick-6 used the same ticks/tick-N.md convention to avoid PROGRESS.md races.

Major out-of-tick news (horizon-tracker just completed)

Horizon-tracker agent a62cf580… reported full M1M7 completion: 6 MCP tools, 6 CLI subcommands, ADR-104, 16 passing tests. Final summary in HORIZON.md. The MCP/CLI track is structurally complete; npm publish handoff is documented for the user.