Overcoming Catastrophic Forgetting: Continual Learning for Radar Waveform Classification
Automated radar waveform recognition classifies the waveform and modulation type of a received signal. As new waveform variants appear over time, a deployed classifier must learn them without retraining from scratch. Catastrophic Forgetting occurs when learning new waveforms overwrites prior knowledge. Continual Learning (CL) methods tackle this challenge, but prior radar studies only evaluate a few methods on narrow benchmarks. Practitioners lack evidence on which method to deploy or which mechanisms are effective. This work presents the first large-scale benchmark of continual learning for radar waveform recognition. Eighteen CL methods are evaluated on a sequential ten-task problem, dr...
| Authors | Mohamed Rabie, Chinthana J. Panagamuwa, Konstantinos G. Kyriakopoulos |
|---|---|
| Primary category | eess.SP |
| Published | 13 October 2026 |
| Last updated at source | 13 October 2026 |
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