基于阻塞预处理的多基地雷达抗主瓣干扰算法
doi: 10.3724/SP.J.1146.2013.00707
Main-lobe Jamming Suppression Algorithm for Multistatic Radar Based on Block Preconditioning
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摘要: 针对雷达无法对抗主瓣内伴随干扰的问题,该文研究了一种多基地雷达抗主瓣干扰的技术,提出基于阻塞预处理的自适应主瓣干扰对消算法(BP-AMJCA)。该算法首先将阻塞预处理与直接矩阵求逆法相结合,快速得到初始权向量,然后将高阶累积量引入到变遗忘因子递归最小二乘(HOC-VFF-RLS)算法中实现权值的更新。与传统基于最小均方的自适应主瓣干扰对消算法(LMS-AMJCA)相比,该算法复杂度变化不大,但收敛速度快、鲁棒性好。通过进行主瓣干扰抑制仿真实验,结果表明:采用BP-AMJCA算法有效解决了主瓣内目标回波信号被抑制的问题,使得两个接收站的输出信干噪比改善了35-40 dB,具有重要的应用价值。Abstract: For the issue that escort jamming in main-lobe can not be countered by radar, a main-lobe jamming suppression technique about multistatic radar is studied, and the Adaptive Main-lobe Jamming Cancellation Algorithm based on Block Preconditioning (BP-AMJCA) is proposed in this paper. Firstly, block preconditioning is combined with direct matrix inversion to get the initial weight vector, then High Order Cumulants is introduced to Variable Forgetting Factor Recursive Least Square (HOC-VFF-RLS) Algorithm to realize the update of weights. Compared with traditional Adaptive Main-lobe Jamming Cancellation Algorithm based on Least Mean Square (LMS-AMJCA), the proposed algorithm has little complexity increase, fast convergent rate and good robustness. The simulation experiment result of main-lobe jamming suppression shows that the issue of target echo signal cancellation in main-lobe is solved, and the output SINR of two receivers is improved to 35-40 dB by BP-AMJCA algorithm, which has important application value.
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