‍LIU Quanhua,LIU Zihao,REN Lixiang,et al. Research on optimization design and signal processing methods of initial phase agility waveform[J]. Journal of Signal Processing,2024,40(1):114-125. DOI: 10.16798/j.issn.1003-0530.2024.01.007
Citation: ‍LIU Quanhua,LIU Zihao,REN Lixiang,et al. Research on optimization design and signal processing methods of initial phase agility waveform[J]. Journal of Signal Processing,2024,40(1):114-125. DOI: 10.16798/j.issn.1003-0530.2024.01.007

Research on Optimization Design and Signal Processing Methods of Initial Phase Agility Waveform

  • ‍ ‍The agile waveform has a certain ability to suppress range and velocity ambiguity and expand the difference between jamming and target, while also possesses excellent low interception and anti-jamming performance. Compared to waveforms with fixed parameters, the agile waveform provides a new signal processing dimension for radar systems. The initial phase agility waveform (IPAW) is relatively simple and it is also easy to engineering implementation with low hardware requirements. To achieve waveform design and signal processing closed loop, this article conducts the research on optimization design and signal processing methods of the IPAW. Firstly, the range gating characteristic of the IPAW is introduced, and an optimizing model for IPAW design based on the range gating characteristic is constructed. The solution of the model is achieved through the Majorization-Minimization algorithm and the Newton, and squared iterative method can be easily applied to the proposed method in this article. After simulation verification, compared with the randomly generated IPAW, the proposed algorithm can significantly improve the range gating characteristic of the optimized IPAW. Then, according to the ability to suppress folded clutter, an adaptive clutter suppression algorithm based on range gating characteristic is explored. By utilizing the range gating characteristic of the space-time steer vector of the IPAW, clutter suppression in each range segment is achieved. So that the main and side lobe clutter in near-distance does not fold to the long-distance range segment. Through simulation and measured data, the detection performance of the algorithm for long-distance and low-speed targets in strong clutter environment has been verified. Finally, in view of the range gating characteristic and alternating inversion, a deceptive jamming suppression algorithm is proposed. Exploiting the characteristic of long-distance support jamming lagging behind the target echo, and based on the range gating characteristic of the IPAW, jamming and target exhibit significant energy distribution difference in the range Doppler dimension. Therefore, range segment reconstruction results of jamming and target echo is achieved through alternating projection between range segments. The effectiveness in suppressing long-distance support jamming is demonstrated through simulation.
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