基于知识辅助的MIMO雷达波形设计方法

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该文针对雷达系统受到天线主瓣和副瓣杂波以及强干扰影响时性能下降问题,提出基于距离扩展目标和杂波先验信息的MIMO雷达波形设计方法。首先建立了目标函数,综合考虑了波束主瓣增益、旁瓣杂波抑制能力以及目标输出SCNR的改善性能;然后在优化问题求解中对约束条件进行松弛,使得波形矩阵空域和时域2维解耦合,从而实现空域波束形成和时域波形设计独立优化求解;其次利用L-BFGS算法设计恒模的发射波形矩阵,形成低副瓣的波束方向图和较深的强杂波抑制凹口,并基于目标输出SCNR最大化准则,利用迭代算法分步求解优化的主瓣发射波形和接收滤波器;最后通过电磁仿真的距离扩展目标数据验证所提算法的有效性。 In this paper, aiming at the performance degradation of the radar system when it is affected by the mainlobe and the side lobe clutter of the antenna and the strong interference, a method of designing the radar waveform based on the distance expansion target and the clutter prior information is proposed. Firstly, the objective function is established and the beam main lobe gain, the sidelobe clutter suppression capability and the target output SCNR performance are considered. Then, the constraints are relaxed in the optimization problem so that the spatial and temporal two-dimensional solution of the waveform matrix Then the L-BFGS algorithm is used to design the constant mode transmit waveform matrix to form a low sidelobe beam pattern and a deep notch with strong clutter suppression Based on the maximization criterion of target output SCNR, the iterative algorithm is used to solve the optimized mainlobe transmit waveform and receive filter step by step. Finally, the validity of the proposed algorithm is verified by extending the target data through the electromagnetic simulation distance.
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