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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
47 lines
1.9 KiB
Markdown
47 lines
1.9 KiB
Markdown
# Tick 6 — 2026-05-22 03:55 UTC
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**Thread:** R10 (through-foliage wildlife sensing)
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**Verdict:** Physics feasibility + per-species gait taxonomy + bounded range estimates.
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## What shipped
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- `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.
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- `examples/research-sota/r10_foliage_results.json` — full machine-readable numbers.
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- `docs/research/sota-2026-05-22/R10-through-foliage-wildlife.md` — research note with range table, gait taxonomy, vertical applications, honest scope.
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## Headline numbers (this tick)
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**Max ESP32-S3 sensing range through foliage (121 dB link budget, 10 dB SNR margin):**
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| Frequency | Sparse | Moderate | Dense |
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|---|---:|---:|---:|
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| 2.4 GHz | **99.6 m** | 12.0 m | 4.1 m |
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| 5 GHz | 19.9 m | 5.2 m | 2.1 m |
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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.
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**Per-species gait taxonomy** (DSP-actionable):
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- 0.5–1.5 Hz: bear, sloth, wild boar
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- 1.2–2.5 Hz: human walking
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- 1.5–3.5 Hz: elk, raccoon, wolf
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- 1.8–4.5 Hz: deer, fox
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- 4.0–15.0 Hz: squirrel, mouse, songbird
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## 10-20 year verticals catalogued
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- Endangered-species population census (replaces camera traps)
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- Wildlife corridor verification
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- Invasive-species early warning
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- Poaching detection (human gait band well-separated from wildlife)
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- Livestock-on-rangeland tracking
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- Agricultural pest control
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## Coordination
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Tick-6 used the same `ticks/tick-N.md` convention to avoid PROGRESS.md races.
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## Major out-of-tick news (horizon-tracker just completed)
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Horizon-tracker agent `a62cf580…` reported full M1–M7 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.
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