Abstract
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.
Original language | English |
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Pages (from-to) | 2302-2306 |
Number of pages | 5 |
Journal | IET Conference Proceedings |
Volume | 2023 |
Issue number | 47 |
DOIs | |
Publication status | Published - 2023 |
Event | IET International Radar Conference 2023, IRC 2023 - Chongqing, China Duration: 3 Dec 2023 → 5 Dec 2023 |
Keywords
- DOPPLER TOLERANCE
- MAJORIZATION MINIMIZATION
- MISMATCHED FILTER