摘要
为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)波束形成器的计算量,将多级分解技术用于WSN分布式波束形成技术中,提出基于多级维纳滤波器(Multistage Wiener filter,MSWF)的分布式LCMV波束形成器方法。该方法通过有效引入MSWF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,说明新方法继承了MSWF和分布式LCMV波束形成器的优点。计算机仿真结果验证了算法的优良性能。
To reduce the calculation of distributed linearly constrained minimum variance （D-LCMV） beamforming in tree topology wireless sensor network （WSN）, a multistage Wiener filter （MSWF） based D-LCMV beamforming method is proposed by introducing a multistage decomposition techniques. By effectively applying the MSWF technology to the new method, the estimation and the inversion of lo- cal covariance matrix are avoided. The new method can reach the same output performance as that of the D-LCMV beamformer with less amount of calculation. Therefore it is shown that the new method inher- its advantages of both MSWF and D-LCMV beamformer. Simulation results prove that the new method achieves excellent performance.
出处
《南京航空航天大学学报》
EI
CAS
CSCD
北大核心
2015年第1期52-58,共7页
Journal of Nanjing University of Aeronautics & Astronautics
基金
国家自然科学基金(61301091
61271276)资助项目
陕西省教育厅课题(11JK0929)资助项目
关键词
无线传感器网络
LCMV波束形成器
多级维纳滤波器
分布式信号估计
wireless sensor network （WSN）
linearly constrained minimum variance （LCMV） beam-former
multistage Wiener filter （MSWF）
distributed signal estimation（DSE）
