Mitigating Multi-Radar Interference in Photonic Radar with Nonlinear Deep Neural Network
Parajuli H.N. Ashimbayeva A. Ukaegbu I.A. Molardi C. Pan S. Nakarmi B.
2024Institute of Electrical and Electronics Engineers Inc.
Opto-Electronics and Communications Conference, OECC
2024Issue 2024
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 R2 and less than 0.08 mean EVM values during the test stage, demonstrating effective suppression of multi-radar interference.
deep neural network , interference , photonic radar
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Nazarbayev University, Department of Elec. and Computer Engineering, Astana, Kazakhstan
Nanjing University of Aero. and Astro., Key Laboratory of Radar Imaging and Microwave Photonics, Nanjing, China
Nazarbayev University
Nanjing University of Aero. and Astro.
10 лет помогаем публиковать статьи Международный издатель
Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026