摘要
针对存在阵元位置误差时多重信号分类(MUSIC)算法的信号波达方向(DOA)估计性能严重下降的问题,结合微粒群(PSO)算法,提出了一种在阵元位置误差情况下的DOA估计方法.该方法首先根据MUSIC算法原理拟合校准目标函数,然后运用PSO算法对函数进行寻优,再校准误差矩阵,最后利用MUSIC算法进行DOA估计.通过不同的参数设置条件下仿真结果比较,选择估计性能最好的一组作为PSO算法的关键参数设置,并对比了校准前后MUSIC算法的DOA估计性能.仿真结果表明:本文方法能够有效改善MUSIC算法的角度分辨能力.
Concerning the problem that the performance of direction-of-arrival （DOA） estimation using multiple signal classification （MUSIC） algorithm is decline seriously in the presence of array element position errors, this paper puts forward a scheme of DOA estimation in the presence of array element position errors, combining with particle swarm optimization （PSO） algorithm. In this scheme, firstly, the target functions are fitted in the principle of MUSIC algorithm, next, the functions are optimized using PSO algorithm and then the error matrix is corrected, and finally, the DOA estimation is performed using MUSIC algorithm. By comparing the simulation results with various parameters setting, a group that is of best estimation performance is selected as the key parameters setting for POS algorithm, and the DOA estimation performance of MUSIC algorithm before and after being standardized is contrasted in this paper. Simulation results show that the proposed scheme can improve the angular resolution of MUSIC algorithm greatly.
出处
《空军雷达学院学报》
2012年第4期252-255,共4页
Journal of Air Force Radar Academy
