Mitigating Multi-Radar Interference in Photonic Radar with Nonlinear Deep Neural Network

2024

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DOI 10.1109/oecc54135.2024.10975396
Data confidence 85 high
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Abstract

We propose and demonstrate a multi-radar interference mitigation technique in a photonic radar utilizing a nonlinear deep neural network (N-DNN). Trained with interference signals of varying parameters, N-DNN achieves over 92% mean R2and less than 0.08 mean EVM values during the test stage, demonstrating effective suppression of multi-radar interference.