Commit Graph

9 Commits

Author SHA1 Message Date
rUv 9e7fa83210
feat(signal): ADR-134 CSI→CIR via ISTA + NeumannSolver warm-start (#837)
* feat(signal): ADR-134 — CSI→CIR via ISTA + NeumannSolver warm-start

End-to-end first-class Channel Impulse Response estimation in the Rust
workspace. Bridges CSI (frequency domain) to CIR (delay domain) so
multistatic coherence gating, NLOS/LOS classification, and (at HT40+)
ToF ranging become tractable in `wifi-densepose-signal`.

Algorithm: ISTA L1 sparse recovery over a normalized DFT sub-matrix
sensing operator Φ ∈ ℂ^(K×G) with G = 3K (3× super-resolution). The
Tikhonov-regularised warm start re-uses `ruvector_solver::neumann::
NeumannSolver` — same call pattern as `fresnel.rs:280` and
`train/subcarrier.rs:225` — so no new crate dependencies.

Tiers supported: HT20 / HT40 / HE20 (Tier A-HE, C6) / HE40. The C6
HE-LTF tier is the preferred Tier A target whenever an 11ax AP is in
range; firmware substrate already shipped at v0.7.0-esp32 per ADR-110.

Measured performance (release, single CirEstimator shared across 12
links): HT20 2.72 ms / HE20 3.20 ms / HT40 13.43 ms / HE40 9.71 ms per
estimate(). HT20 12-link multistatic 17.7 ms — fits the 50 ms RuvSense
cycle; HT40 12-link 74 ms exceeds it and is flagged in ADR-134 §2.7 as
requiring Rayon parallelism or G=2K super-res reduction.

Measured Φ conditioning: κ(Φ) ≈ 1.00 identically across all tiers.
ADR-134 §2.3 was corrected — the C6 advantage is statistical SNR gain
(√(242/52) ≈ 2.16×) from more independent measurements, not improved
conditioning.

Witness: bit-deterministic SHA-256 over CirEstimator output on the
synthetic ADR-028 reference signal (100 frames, top-5 taps, 1e-6
quantization). Hash committed to expected_cir_features.sha256;
verify-cir-proof.sh wires the check into the existing witness bundle.

CI: cargo test --features cir + verify-cir-proof.sh added as separate
steps under the Rust Workspace Tests job; regressions are unambiguously
attributable.

Files:
- ADR + WITNESS-LOG-028 row 34 + CLAUDE.md module count (14 → 15)
- src/ruvsense/cir.rs (~540 LOC) + lib.rs re-exports + multistatic.rs
  wire-up (reversible via `use_cir_gate=false`)
- 3 integration tests + Criterion bench + 3 deterministic fixtures
- cir_proof_runner binary + sha256 + verify-cir-proof.sh

Test rate: 395 pass / 6 ignored (P2 ISTA hyperparameter tuning; see
#[ignore] reasons) / 0 fail. cargo check clean; verify-cir-proof.sh
VERDICT: PASS.

Co-Authored-By: claude-flow <ruv@ruv.net>

* fix(signal): make CIR witness cross-platform-deterministic

The first witness (Windows-generated hash 89704bfd…) failed on Linux CI
with a different hash (b36741bf…). Root cause: hashing `re`/`im` parts of
top-5 taps at 1e-6 precision is too tight against libm differences in
sin/cos/sqrt across glibc, MSVC, and Apple-clang. The previous
"top-5 sorted by magnitude" form also suffered from rank instability when
taps are near-tied — libm jitter could shuffle the ordering even when the
algorithm is unchanged.

New canonical form: full per-tap quantised-magnitude profile in natural
index order, no sort.

  - 156 taps × 2 bytes (u16 le) per frame = 312 bytes/frame.
  - Quantisation 1e-2 — robust to ~1e-3 float drift while still tripping
    on real algorithmic changes (e.g., a 10× lambda shift moves magnitudes
    by >1e-2).
  - No top-K selection — eliminates the unstable magnitude-sort step.

Regenerated expected_cir_features.sha256 — new hash 120bd7b1…

If the next CI run still mismatches, the cause is structural (rustfft SIMD
code path selection or NeumannSolver internal ordering), not magnitudes,
and the witness needs further coarsening or to be made platform-tagged.

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-05-28 16:24:37 -04:00
rUv 249d6c327f
ADR-115: Home Assistant + Matter integration (#778)
Closes ADR-115's MQTT track (HA-DISCO + HA-MIND + HA-FABRIC scaffolding).

Headline:
- 21 entity kinds per node (11 raw + 10 semantic primitives)
- MQTT auto-discovery with HA conventions
- Matter Bridge scaffolding (SDK wiring deferred to v0.7.1 per ADR §9.10)
- Privacy mode strips biometrics at the wire, semantic primitives keep working
- 420+ lib tests, mosquitto-backed integration tests, property-based fuzzing
- 8 starter HA Blueprints + 3 Lovelace dashboards shipped

Tracking issue: #776
2026-05-23 16:13:28 -04:00
rUv 00a234eda8
ADR-110: ESP32-C6 firmware extension (#764)
Closes the firmware-side ADR-110 design at v0.7.0-esp32 after a 38-iter /loop SOTA sprint.

Headline (bench, COM9+COM12 ESP32-C6):
- 99.56% cross-board RX, 104.1 µs smoothed offset stdev (≤100 µs §2.4 target met)
- 3.95× EMA suppression, 1.4 ppm crystal skew preserved

4 firmware releases: v0.6.7 / v0.6.8 / v0.6.9 / v0.7.0-esp32.
42 ADR-110 unit tests, 1761 v2 workspace tests, full Firmware CI + QEMU green.
2026-05-23 15:34:48 -04:00
rUv 9d4f7820b2
docs(adr): ADR-098 — evaluate midstream for RuView's CSI/WS/mesh pipeline (Rejected) (#553)
`vendor/midstream` is a git submodule of RuView but no `v2/crates/*` depends
on a `midstreamer-*` crate and no Rust source uses one — i.e. it is vendored
but not consumed, the same state `vendor/rvcsi` was in before ADR-097.

ADR-098 evaluates whether to change that. The candidate seams (from the
prompt) were:

  1. Streaming / pub-sub for the WS fan-out (today: `tokio::sync::broadcast`
     at `wifi-densepose-sensing-server/src/main.rs:4769`).
  2. CSI → DSP → event pipeline (today: rvcsi-events::EventPipeline, just
     adopted by ADR-097).
  3. Multi-source merging / TDM for the ESP32 mesh (ADR-029, ADR-073).
  4. Backpressure / flow control between the UDP receiver and downstream
     consumers (firmware `stream_sender` ENOMEM; host-side bounded
     broadcast channel).

Reading all six midstream workspace crates end-to-end
(`vendor/midstream/crates/{temporal-compare,nanosecond-scheduler,
temporal-attractor-studio,temporal-neural-solver,strange-loop,
quic-multistream}/src/*.rs` — ~3,455 LOC) shows midstream's identity
unambiguously: `Cargo.toml:16` calls itself "Real-time LLM streaming with
inflight analysis", the README frames it as analyzing *LLM token streams*
in real time, and zero hits across the workspace for `csi|wifi|sensing|
sensor`. midstream's abstractions are LLM-token / dashboard-telemetry
shaped; RuView's pipeline is RF-frame / event-detector shaped.

Decisions:

  D1 — WS fan-out: keep `tokio::sync::broadcast::channel::<String>(256)`.
       midstream offers no equivalent in-process broadcast primitive.
  D2 — CSI pipeline: keep `rvcsi-events::EventPipeline` (deterministic,
       single-frame-at-a-time, replayable per ADR-095 D9). midstream's
       attractor / LTL crates operate on multi-dimensional trajectories,
       not validated single CSI frames.
  D3 — TDM / aggregator: keep `wifi-densepose-hardware::aggregator` +
       firmware-side TDM. midstream has no UDP merger and no cross-device
       wall-clock scheduler.
  D4 — Backpressure: the firmware ENOMEM rate-limit and the bounded host
       `broadcast` channel are correct at each end; midstream's QUIC
       primitives don't help the actual UDP+WS topology.
  D5 — Carve-out: `midstreamer-temporal-compare` (DTW / LCS / Levenshtein)
       is a plausible future-evaluation option if a *second* DTW use case
       appears in RuView. RuvSense already has one (`gesture.rs`).
  D6 — Carve-out: `midstreamer-scheduler` (deadline-aware, EDF / LLF /
       RM) is a plausible future option if the cluster-Pi aggregator ever
       takes over real-time scheduling. Today that lives in firmware.
  D7 — Submodule: keep `vendor/midstream` pinned at `30fe5eb` as reference
       material; do not advance the pin per-release (unlike vendor/rvcsi
       under ADR-097 D7) because there is no in-build consumer.
  D8 — Docs: cross-reference, don't import. ADR-098 added to
       `docs/adr/README.md`.

Status: Rejected (with named re-evaluation triggers in §6 — second DTW use
case, host-side real-time scheduler, midstream gains a CSI adapter, or a
QUIC-to-external-client requirement that WS can't service).
2026-05-17 17:49:21 -04:00
ruv 900b877c64 docs(adr): ADR-099 — adopt midstream as RuView's real-time introspection + low-latency tap (Proposed)
ADR-098 rejected midstream as a *replacement* for RuView's existing seams.
ADR-099 is the other half: midstream's `temporal-compare` (DTW) and
`temporal-attractor-studio` (Lyapunov + regime classification) crates as a
*parallel* per-frame introspection tap, alongside the existing window-aggregated
event pipeline.

The 8 decisions:

  D1 — Only midstreamer-temporal-compare 0.2 + midstreamer-attractor 0.2;
       scheduler / neural-solver / strange-loop are out of scope of this ADR.
  D2 — Tap point: post-validate, parallel to WindowBuffer::push in csi.rs.
       The existing /ws/sensing path is unchanged.
  D3 — New /ws/introspection topic + /api/v1/introspection/snapshot REST endpoint
       carrying IntrospectionSnapshot { regime, lyapunov_exponent,
       attractor_dim, top_k_similarity }.
  D4 — Per-frame updates only, never window-blocked. Soonest-event latency on
       the "shape recognized" path collapses from ~533 ms (16-frame @ 30 Hz
       window) to ~33 ms (one frame), a ~16× win.
  D5 — temporal-neural-solver (LTL) is out of scope (separate MAT audit ADR).
  D6 — ESP32 firmware unchanged; deployment is host-side only.
  D7 — Signature library is JSON, on-disk, customer-owned; three reference
       signatures ship as developer fixtures.
  D8 — Promotion bar is empirical: ≥10× p99 latency reduction vs. the existing
       /ws/sensing event path, or the feature stays behind a CLI flag.

Indexed in docs/adr/README.md. Phased adoption (P0 spike + benchmark → P1 first
real signature library → P2 dashboard widget → P3 capture workflow → P4 optional
adaptive_classifier hook). Implementation lands as ~150–250 lines + one
integration test in v2/crates/wifi-densepose-sensing-server in follow-up PRs.

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-05-13 22:42:05 -04:00
ruv 7a407556ba docs(adr): ADR-097 — adopt rvCSI as RuView's primary CSI runtime (Proposed)
rvCSI was extracted to its own repo (PR #542→#544): 9 crates on crates.io @
0.3.1, `@ruv/rvcsi` on npm, vendored at `vendor/rvcsi`. RuView currently
*vendors but does not consume* it — zero `rvcsi-*` deps in `v2/`, zero
`use rvcsi_…` imports, zero `@ruv/rvcsi` JS imports. ADR-097 decides:

  D1 — Depend on the published crates from crates.io, not the submodule path.
  D2 — Pilot in `wifi-densepose-sensing-server` (smallest, best-bounded
       touchpoint: UDP receiver + handlers + WS fan-out).
  D3 — `wifi-densepose-signal` is *layered on top of* rvCSI, not replaced.
       The SOTA / RuvSense modules go beyond rvCSI's scope and stay in
       RuView; they consume `rvcsi_core::CsiFrame`. Overlapping basic DSP
       primitives delegate to `rvcsi-dsp` or become thin shims.
  D4 — `wifi-densepose-hardware` stops carrying ESP32 wire-format parsing;
       the parser moves to a new `rvcsi-adapter-esp32` crate (ADR-095 §1.2
       / D15 follow-up, owned in the rvCSI repo).
  D5 — `wifi-densepose-ruvector` (training pipeline) and `rvcsi-ruvector`
       (runtime RF memory) stay separate for now; a follow-up unifies them
       once the production RuVector binding lands.
  D6 — `rvcsi_core::CsiFrame` is the boundary type at the runtime edge;
       one explicit `From`/`Into` conversion point at that edge.
  D7 — Track via `rvcsi-* = "0.3"` SemVer ranges + bump the `vendor/rvcsi`
       submodule pin per RuView release for reproducible offline builds.
  D8 — Once every consumer depends on crates.io, decide (separately)
       whether to drop the submodule.

Adoption is phased (P1 pilot → P2 signal shim → P3 ESP32 adapter →
P4 clean-up → P5 submodule review); each phase is one PR with tests.

Indexed in docs/adr/README.md.

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-05-13 09:23:25 -04:00
Claude 94745242a8
feat(rvcsi): rvcsi-dsp (DSP stages + SignalPipeline) + ADR-096 (FFI/crate layout)
- rvcsi-dsp — reusable signal-processing stages (ADR-095 FR4): mean/variance/
  std_dev/median, remove_dc_offset, unwrap_phase, moving_average, ewma,
  hampel_filter(_count), short_window_variance, subtract_baseline + DspError;
  scalar features motion_energy(_series), presence_score (logistic, ≈0.5 at
  threshold), confidence_score, breathing_band_estimate (heuristic, FFT-free);
  SignalPipeline (hampel → smooth → DC-remove → baseline-subtract → unwrap,
  non-destructive of validation state) + learn_baseline. 28 tests, clippy-clean,
  forbid(unsafe_code), no heavy deps.
- docs/adr/ADR-096-rvcsi-ffi-crate-layout.md — the implementation ADR: 8-crate
  topology, the napi-c shim record format + contract, the napi-rs Node surface,
  build/test invariants, alternatives. Indexed in docs/adr/README.md.
- CHANGELOG: rvCSI entry updated to cover the implementation crates.

https://claude.ai/code/session_01CdYAPvRTjcch6YrYf42n1z
2026-05-13 00:00:40 +00:00
Claude d98b7e3f65
docs: rvCSI edge RF sensing platform — PRD, ADR-095, DDD domain model
Adds design documentation for rvCSI, a Rust-first / TypeScript-accessible /
hardware-abstracted edge RF sensing runtime that normalizes WiFi CSI from
Nexmon, ESP32, Intel, Atheros, file and replay sources into one validated
CsiFrame schema, runs reusable DSP, emits typed confidence-scored events,
and bridges to RuVector RF memory, an MCP tool server and a TS SDK.

- docs/prd/rvcsi-platform-prd.md — purpose, users, success criteria,
  FR1-FR10, NFRs (safety/perf/reliability/privacy/security/portability),
  system architecture, runtime components, reference layout, data model
- docs/adr/ADR-095-rvcsi-edge-rf-sensing-platform.md — the 15 architectural
  decisions (Rust core, C-at-the-boundary, TS SDK via napi-rs, normalized
  schema, validate-before-FFI, CSI-as-temporal-delta, RuVector as RF memory,
  replayability, detection != decision, local-first, read-first/write-gated
  MCP, mandatory quality scoring, versioned calibration, plugin adapters)
- docs/ddd/rvcsi-domain-model.md — 7 bounded contexts (Capture, Validation,
  Signal, Calibration, Event, Memory, Agent) with aggregates, invariants,
  context map, data model and domain services
- indexed in docs/adr/README.md and docs/ddd/README.md; CHANGELOG entry

Design-only; no code or crates added yet.

https://claude.ai/code/session_01CdYAPvRTjcch6YrYf42n1z
2026-05-12 23:15:10 +00:00
ruv 7e43edf26a docs: add ADR index with intro on ADRs for AI-assisted development
Explains why ADRs matter for AI-generated code (prevents drift,
provides constraints and rationale), how they work with DDD domain
models, and indexes all 44 ADRs by category.

Also fixes ADR count 43 -> 44 in main README.

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-03-03 16:35:17 -05:00