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Design — pure-functional acquisition kernel (elastic fleet)

Status: model + naming locked; build sequenced below. Companion to dsss-acquisition.md (roadmap) and the acquisition guide.

Mental model — two kernels, two faces

source ─► ddc_fn (mix f_coarse [+decimate]) ─► acq_fn (acquire) ─► hits

Two streaming kernels chained; one (ddc_fn, acq_fn) pipeline per coarse Doppler channel; channels are the unit of parallel work. Every kernel is a pure transducerf(config, scratch, state_in, input) → (state_out, output), nothing retained between calls. That purity is what makes the fleet elastic: the shipped unit of work is (descriptor, state_in, input_block), and any pod can continue a channel from it — time-split, restart, rebalance, un-rewindable live socket.

Two faces over the one engine, both first-class:

face what it is for
OO object (Acquisition, Ddcr) stateful engine holding its own mutable state, threaded across push/execute the simple single-stream case; unchanged public API
pure run (acq_run, ddcr_run + serializable state) f(engine-as-config, state_in, input) → (state_out, hits) the orchestrator, pods, Rust FFI — anything elastic

The two faces are the same engine: the OO object owns its state; the pure *_run face takes state_in / state_out blobs so a fresh engine (rebuilt from the descriptor) can resume bit-identically. The serializable state triplet (state_bytes/get_state/set_state) is generated by jm's serializable flag — the same mechanism lo/cic/fir/ddcr use — so it is added alongside the OO API, never a replacement.

Three roles (so "knows nothing" ≠ "rebuild plans every call")

  • config — immutable; built once per pod from a small descriptor (PN replica, FFT plans, thresholds, grid sizing). A const input to every call, never mutated → purity holds. Rebuilding pffft plans per call would be absurd; the descriptor→config build is the once-per-pod step, cached by descriptor.
  • state — the serializable flat POD that is "everything a fresh pod needs." Threaded in → out each call via state_in / state_out.
  • scratch — per-worker workspace; holds no meaning (reused, never state). In the shipped engine this lives inside acq_state_t alongside the mutable state; the descriptor (acq_create args) plays the config role.

State blobs (flat, versioned POD)

  • acq_fn state: unconsumed ring samples (the partial frame, < n) + running sample offset (the code-phase anchor — carried so a resumed pod keeps a continuous phase reference) + nc_surface[n] + nc_count. Header stamps magic/version/n/n_noncoh for validation; a mismatch is rejected, never reinterpreted.
  • ddc_fn state: NCO phase + every filter's delay line (FIR history, CIC integrator/comb, halfband, resampler fractional phase). Heterogeneous — the harder serialization.

C API shape (acq)

The engine stays one opaque acq_state_t (descriptor = config, built by acq_create; scratch + mutable state live inside it). The pure face is the serializable triplet + acq_run, mirroring ddcr:

/* config: build once per pod from the physics descriptor (see acq_create). */
acq_state_t *acq_create (const uint8_t *code, size_t code_len, size_t reps,
                         size_t spc, double chip_rate, double cn0_dbhz,
                         double doppler_uncertainty, double pfa, double pd,
                         int noise_mode, size_t max_noncoh);

/* serializable state (jm `serializable` flag generates the Python triplet). */
size_t acq_state_bytes (const acq_state_t *);
void   acq_get_state   (const acq_state_t *, void *blob);
int    acq_set_state   (acq_state_t *, const void *blob); /* 0 ok / -1 reject */

/* pure run: (state_in, input) -> (state_out, hits). Either blob may be NULL
 * (NULL in = fresh; NULL out = discard). */
size_t acq_run (acq_state_t *, const void *state_in, void *state_out,
                const float complex *in, size_t n_in,
                acq_result_t *hits, size_t max_hits);

Acquisition (the object) owns one acq_state_t and forwards pushacq_push; the pure acq_run face reuses the same engine with explicit state_in/state_out. Bit-identical to an uninterrupted run.

Elastic fan-out

  • shard = one coarse channel = a (ddc_fn, acq_fn) pure pipeline.
  • threads: share the descriptor, one engine + state per worker.
  • processes/pods: ship (descriptor, state, input_block). The node rebuilds the engine from the descriptor (cached), injects the state, runs, returns (state_out, hits). Only POD + samples cross a boundary — never plan pointers.
  • non-coherent integration is inside acq_fn's state; no external merge.

Build sequence

  1. (done — PR #259) physics sizing API; the foundation.
  2. (done — PR #260) acq_fn serializable state + acq_run — flat-POD state (unconsumed ring samples + nc surface + counters) on the existing acq_state_t; acq_state_bytes/get_state/set_state + acq_run. Bit-exact vs an uninterrupted run + state round-trip, verified in test_acq_core.c. (serializable = true on acq.toml for the Acquisition Python triplet is the follow-up flag flip.)
  3. (done — PRs #261, #265) ddc_fn serializable state — ddcr_run + the heterogeneous leaf serializers (lo/cic/fir/resamp/hbdecim/hbdecim_r2c + RateConverter), adopted on LO/CIC/FIR via the serializable flag.
  4. Orchestrator over the two pure kernels (mixer bank, fan-out, hit dedupe) — the next step.

The OO objects (Acquisition, Ddc/Ddcr) are preserved at every step.