Demo — RWR Scope

Demo — RWR Scope#

A radar warning receiver hears one merged stream of pulses from every emitter in view. Its first job is not hearing but sorting — deinterleaving that chaos into per-emitter buckets and classifying each against a threat library. This demo runs that pipeline on a dense scene built from the Block 1 cast.

The pipeline#

Each pulse becomes a descriptor; the processor clusters by frequency and AoA, estimates each cluster’s PRI from time-of-arrival differences, then matches (frequency, PRI, PW) against the library and reads the mode from PRF jumps.

Interactive demo#

Open in full screen

Walkthrough#

  1. Look at the interleaved stream. Three emitters — EW (0.5 GHz, PRI 5 ms), ACQ (3 GHz, PRI 2 ms), TTR (10 GHz, PRI 0.1 ms) — merge into one timeline. It is hard to read anything by eye.

  2. Hit Deinterleave. The stream splits into per-emitter lanes grouped by frequency. Now each emitter’s regular PRI is obvious.

  3. Read the threat table. Each bucket resolves to a measured frequency, an estimated PRI, a classified type, and a mode — the TTR’s tiny PRI marks it as a tracker, not a searcher.

  4. Add clutter. Raise the noise slider and watch spurious pulses crowd the interleaved view — reading the merged stream by eye becomes hopeless. (This demo’s deinterleaver is idealized: the gray pulses are rejected before PRI estimation, so the table stays clean. Doing that rejection reliably is exactly the RWR’s real problem.)

  5. Classify the mystery emitter. Turn it on and call it from its parametrics.

Key observations#

  • PRI is the most diagnostic single number. Frequency narrows the band; PRI and scan name the system and its mode.

  • Deinterleaving precedes classification. You cannot identify what you have not first separated.

  • Mode determination is kill-chain awareness. A PRF jump from search to track is the IADS handoff happening live on the scope.

Source#

MATLAB bundle · L12_RWRPulseSort.m↓

The companion script merges three emitters’ pulse trains into one time-of-arrival stream, deinterleaves by measured frequency, estimates each cluster’s PRI, and classifies against a three-entry library.

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