A Robust Interference Suppression Method Based on FDA-MIMO Radar

Zhixia Wu, Shengqi Zhu, Jingwei Xu, Lan Lan, Mengdi Zhang, Ximin Li
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Abstract

In the issue of interference suppression, the performance of traditional adaptive methods will decrease when mainlobe interference and sidelobe interference have angle error. To this end, a robust adaptive beamforming technique based on frequency diversity array (FDA) multiple-input multiple-output (MIMO) is proposed in this work. Firstly, preprocessing in data domain is adopted for mainlobe interference cancellation. Then, the sidelobe interference is suppressed in the receiving dimension. Finally, robust adaptive beamforming method is applied to suppress sidelobe interference. Simulation results show the effectiveness of the proposed algorithm.
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基于FDA-MIMO雷达的鲁棒干扰抑制方法
在干扰抑制问题上,当主瓣干扰和副瓣干扰存在角度误差时,传统自适应方法的性能会下降。为此,本文提出了一种基于频率分集阵列(FDA)多输入多输出(MIMO)的鲁棒自适应波束形成技术。首先,对主瓣干扰进行数据域预处理。然后,在接收维上抑制副瓣干扰。最后,采用鲁棒自适应波束形成方法抑制副瓣干扰。仿真结果表明了该算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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