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Plan V1-1

Imported from the implementation repo: ~/dev/python/HDDS2/Plans/Plan V1-1.md

Summary

This plan extends the project from radar-only to a unified multimodal drone detection system.

Core Decision

Do not build three independent subsystems.

Build one synchronized system with:

  1. per-modality inference,
  2. temporal alignment,
  3. fusion,
  4. final tracking and alert logic.

Best Practical Model Choices

Radar

  1. OFDM range-Doppler pipeline,
  2. CA-CFAR,
  3. M/N confirmation,
  4. Kalman or alpha-beta tracking.

Vision

  1. YOLO11 + tracking as the practical route,
  2. RT-DETR as the more research-heavy route.

Audio

  1. MFCC + LightGBM baseline,
  2. PANNs or AST embeddings as the stronger upgrade path.

Required Proof

The thesis must show:

multimodal fusion reduces false alarms relative to radar-only detection

Linked Notes

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