基于压缩感知的FDA-MIMO雷达波束形成算法

Beamforming algorithm for FDA-MIMO radar based on compressed sensing

为保证FDA-MIMO雷达具有较高的距离维分辨率,充分利用信号在空间的稀疏特性,提出了基于压缩感知的FDA-MIMO雷达自适应波束形成算法.该算法只需对少量阵元接收通道的信号在角度-距离二维上进行压缩采样,就可以精确地恢复出满阵接收的原始信号,然后再进行自适应波束形成对主瓣干扰进行抑制.仿真结果表明,与稀疏阵相比,该算法不仅形成了高角度和高距离分辨率的点状单峰值波束,提高了目标回波能量,去除了栅瓣,并且干扰零陷更深,主瓣干扰抑制性能更好.

In order to ensure the high range-dimensional resolution of FDA-MIMO radar,this paper makes full use of the sparse characteristics of signals in space and proposes an adaptive beamforming algorithm for FDA-MIMO radar based on compressed sensing.The algorithm only needs to compress and sample the signals from a small number of array element receiving channels in the two dimensions of angle and region,in order to precisely recover the original signals received by the full array,and then to use adaptive beamforming to suppress the interference of the main lobe.Simulation results show that compared with the sparse array,the algorithm not only forms the spotty single peak beam with high angle and high range resolution,increasing the target echo energy and removing the gating lobes,but also the interference null trapping is deeper,and the interference suppression performance of the main lobe is better.