| 改进的树型WSN分布式LCMV波束形成方法 |
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| 引用本文： | 黄庆东,卢光跃,庞胜利,包志强.改进的树型WSN分布式LCMV波束形成方法[J].系统工程与电子技术,2014,36(9):1844-1848. |
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| 作者姓名： | 黄庆东 卢光跃 庞胜利 包志强 |
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| 作者单位： | 西安邮电大学通信与信息工程学院， 陕西 西安710121 |
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| 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。
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Improved distributed LCMV beamforming in tree topology WSN |
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| HUANG Qing-dong,LU Guang-yue,PANG Sheng-li,BAO Zhi-qiang.Improved distributed LCMV beamforming in tree topology WSN[J].System Engineering and Electronics,2014,36(9):1844-1848. |
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| Authors: | HUANG Qing-dong LU Guang-yue PANG Sheng-li BAO Zhi-qiang |
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| Institution: | School of Communication and Information Engineering, Xi’an University of Posts and ;
Telecommunications, Xi’an 710121, China |
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| Abstract: | To reduce the calculation amount of distributed linearly constrained minimum variance (LCMV) beamforming 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 output performance as distributed LCMV beamforming with less amount of calculation. Computational simulation results show that the new method achieves an excellent performance. |
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