子阵平滑对小快拍数下CAB算法的改善

Improvement with Subarray Smoothing to the CAB Algorithm with Few Snapshots

研究了子阵空间平滑自适应阵列方法对CAB算法性能的改进。数字波束形成是DBF雷达实现的关键技术。在诸多数字波束形成算法中 ,由于CAB算法在较高信干噪比条件下具有较快的收敛速度 ,因此具有较强的优势。但是该算法在较少的快拍数情况下不能保证在输出SINR收敛并趋向于最优值的同时保持较低的自适应旁瓣电平〔1〕〔2〕〔3〕〔4〕。因此 ,采用空间子阵平滑方法并利用子阵级自适应处理结构来等效提高CAB算法的快拍数 ,从而抑制干扰和噪声。仿真结果证明了该方法的有效性。

In this paper, we apply the subarray smoothing technology to the CAB algorithm. Digital Beamforming technology is very important in DBF Radar. The CAB algorithm has great advantage resulting from possessing high convergence rate in the case of rather high SINR. However, The CAB algorithm cannot provide simultanous convergence to the optimum value and low side lobes in the case of few snapshots. The simulation results prove that the performance of the CAB algorithm is improved by our method which is equiralent to increasing the number of snapshots.