改进的树型WSN分布式LCMV波束形成方法  

Improved distributed LCMV beamforming in tree topology WSN

作　　者：黄庆东[1] 卢光跃[1] 庞胜利[1] 包志强[1] 

机构地区：[1]西安邮电大学通信与信息工程学院,陕西西安710121

出　　处：《系统工程与电子技术》2014年第9期1844-1848,共5页Systems Engineering and Electronics

基　　金：国家自然科学基金(61301091;61271276);陕西省教育厅项目(11JK0929)资助课题

摘　　要：针对减少树型无线传感器网络(wireless sensor network,WSN)中分布式线性约束最小方差(linearly constrained minimum variance,LCMV)波束形成器计算量问题,提出基于Householder多级维纳滤波器(Householder multistage Wiener filter,HMSWF)的分布式LCMV波束形成器方法。该方法通过有效引入HMSWF技术避免本地协方差矩阵估计及求逆运算,能以更少的计算量获得分布式LCMV波束形成器相同的输出性能。计算机仿真结果验证了算法的优良性能。To reduce the calculation amount of distributed linearly constrained minimum variance （LCMV）beam-forming in tree topology wireless sensor network （WSN）,a Householder multistage Wiener filter （HMSWF）based method for distributed LCMV （D-LCMV）beamforming is proposed.The new method effectively introduces the HMSWF technology to avoid local covariance matrix estimation and inversion.Consequently it can get the same out-put performance as distributed LCMV beamforming with less amount of calculation.Computational simulation results show that the new method achieves an excellent performance.

关 键 词：线性约束最小方差波束形成器 分布式信号估计 无线传感器网络 

分 类 号：TN911.23[电子电信—通信与信息系统]