改进的粒子群优化算法下的MIMO雷达稳健波束形成

摘要

Conventional optimal beamforming has poor performance when the array steering vector is inaccurately known. In adaptive beamforming, the mismatch phenomenon of array steering vector seriously affects the conven⁃tional optimal beamforming performance. Taking into account the steering vector mismatch of array elements, the improved particle swarm optimization ( IPSO) algorithm is used to correct the array steering vector, to minimize the mismatch and to obtain a new robust beamforming method that adapts to multi⁃input and multi⁃output ( MIMO) ra⁃dar. Compared with the existing algorithms, this method has a better output signal to interference plus noise ratio ( SINR) when the steering vector mismatches are large or the error changes randomly and its performance always keeps a high stability. Numerical experiments validated that the proposed method has better robustness and higher performance than existing algorithms.%在进行阵列自适应波束形成时，由于阵元导向矢量失配现象的存在，严重影响了常规最优波束形成的性能。考虑阵元的导向矢量误差，运用改进的粒子群优化算法对阵元的导向矢量进行纠正，使其误差达到最小，得到了一种适用于多输入多输出雷达的新的稳健波束形成方法。与现有的应用于MIMO雷达的稳健波束形成方法相比，在导向矢量误差较大或者误差随机变化的情况下新方法具有更高的输出信号干噪比，且其性能一直保持了较高的稳定性。数值仿真结果验证了新方法相比已有算法具有更好的鲁棒性和更高的输出性能。