LPI Radar Signal Recognition Based on Feature Enhancement with Deep Metric Learning
Feitao Ren,
Daying Quan,
Lai Shen
et al.
Abstract:Low probability of intercept (LPI) radar signals are widely used in electronic countermeasures due to their low power and large bandwidth. However, they are susceptible to interference from noise, posing challenges for accurate identification. To address this issue, we propose an LPI radar signal recognition method based on feature enhancement with deep metric learning. Specifically, time-domain LPI signals are first transformed into time–frequency images via the Choi–Williams distribution. Then, we propose a … Show more
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