快速稳健的LMS自适应波束形成算法  

A Fast Robust LMS Adaptive Beamforming Algorithm

作　　者：王云飞[1] 郝亮飞[1] 李静[2] 

机构地区：[1]西北工业大学电子信息学院,陕西西安710129 [2]西北工业大学航空学院,陕西西安710129

出　　处：《计算机仿真》2010年第7期362-364,共3页Computer Simulation

摘　　要：研究天线阵通信问题,传统的最小均方误差(LMS)自适应波束形成算法,需要积累足够多的快拍数据后才能进行权值计算,运算时间较长,且存在波达方向(DOA)估计误差性能严重下降的现象。针对上述现象,为提高速度和精度,提出一种快速稳健的LMS自适应波束形成方法。算法是一种自适应迭代算法,不需要累积足够多的快拍数据计算权矢量,减少了权值计算时间。同时基于导向矢量展开的方法,通过梯度搜索相位误差矢量,将它补偿到不精确已知的期望信号导向矢量上,以获得真实的期望信号导向矢量。算法提高了运算速度和稳定性。计算机仿真验证了方法的有效性和正确性。Traditional Least Mean Square（LMS） self-adaptive beamforming algorithm needs more receive signal data to calculate the optimal weight,which spends longer time,and when there is a Direction of Arrival（DOA） estimate error,the performance of the algorithm seriously declines.To solve this problem,a fast robust LMS adaptive beamforming algorithm is proposed.The algorithm is based on adaptive recursive,and it doesn＇ t need a lot of receive signal data to calculate the optimal weight,thus reduces the computing time.It is also based on the steering vector expansion,through countervailing the imprecise known expecting signal steering vector with the phase error calculated by gradient search,then the real signal steering vector can be obtained.This algorithm improves the computational speed and the stability.The simulations show that the algorithm is effective and correct.

关 键 词：自适应波束形成 快速 稳健 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]