摘要
The issue of Doppler sensitivity in phase-coded signals is a significant factor that leads to performance degradation in radar detection. To mitigate the sidelobes caused by Doppler shifts, we present an algorithm that converts the optimization problem into a quadratic constrained quadratic programming (QCQP) problem via Majorization Minimization (MM), allowing for solution by analysing the Karush-Kuhn-Tucker (KKT) conditions. The key steps of the algorithm are implemented through Fast Fourier transform (FFT), ensuring efficient computational performance. Numerical results demonstrate that our proposed algorithm outperforms the software-based algorithm in terms of both sidelobe suppression and computational efficiency.
源语言 | 英语 |
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页(从-至) | 2302-2306 |
页数 | 5 |
期刊 | IET Conference Proceedings |
卷 | 2023 |
期 | 47 |
DOI | |
出版状态 | 已出版 - 2023 |
活动 | IET International Radar Conference 2023, IRC 2023 - Chongqing, 中国 期限: 3 12月 2023 → 5 12月 2023 |