A Householder Multistage Wiener Filter Method for Distributed LCMV Beamforming in Fully Connected WSN

HUANG Qing-dong; PANG Sheng-li; LU Guang-yue

doi:10.3969/j.issn.0372-2112.2015.02.012

您当前的位置：

首页 >

文章列表页 >

A Householder Multistage Wiener Filter Method for Distributed LCMV Beamforming in Fully Connected WSN

更新时间：2025-07-16

- A Householder Multistage Wiener Filter Method for Distributed LCMV Beamforming in Fully Connected WSN
- Acta Electronica Sinica Vol. 43, Issue 2, Pages: 283-288(2015)
- 作者机构：
  
  西安邮电大学通信与信息工程学院信息与通信技术国家级实验教学中心,陕西,西安,710121
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China (No.61301091, No.61271276);Program of Education Department of Shaanxi Province (No.11JK0929)
- DOI：10.3969/j.issn.0372-2112.2015.02.012
  CLC： TN911.23
- Published：2015
- 稿件说明：
移动端阅览
HUANG Qing-dong, PANG Sheng-li, LU Guang-yue. A Householder Multistage Wiener Filter Method for Distributed LCMV Beamforming in Fully Connected WSN[J]. Acta Electronica Sinica, 2015, 43(2): 283-288.
DOI：

HUANG Qing-dong, PANG Sheng-li, LU Guang-yue. A Householder Multistage Wiener Filter Method for Distributed LCMV Beamforming in Fully Connected WSN[J]. Acta Electronica Sinica, 2015, 43(2): 283-288. DOI： 10.3969/j.issn.0372-2112.2015.02.012.

摘要

针对减少分布式LCMV波束形成器在全联通WSN中的计算量问题

提出基于Householder多级维纳滤波器(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.另外

还可以在递推过程中进行合理截断处理来进一步降低运算量.计算机仿真结果验证了算法的优良性能.

Abstract

Due to reduce the calculation of distributed LCMV beamforming in fully connected WSN

a Householder Multistage Wiener Filter (HMSWF) based method for distributed LCMV beamforming is proposed.The new method effectively introduces HMSWF technology to avoid the local covariance matrix estimation and inversion.Consequently it can get the same output performance as distributed LCMV beamforming with less amount of calculation.In addition

the new method can be truncated in the recursive processing to further reduce the amount of calculation.Computational simulation results show that the new method achieves an excellent performance.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Energy-Efficient Algorithm in Sensor Networks with Non-Uniform Data Generating Rate

An Enhanced Coverage Control Algorithm for Wireless Sensor Networks Based on Adjustable Parameters

SMGLQ: A Self-Maintaining Topology Control Game Algorithm Based on Link Quality

BTh-UAP:Biometric-Based Three-Factor User Authentication Protocol for Wireless Sensor Network

Related Author

GONG Hai-Gang

CHEN Gui-hai

LIU Ming

SONG Chao

XING Xiao-fei

CHEN Heng

WANG Huan-zhao

WU Wei-guo

Related Institution

State Key Laboratory for Novel Software TechnologyNanjing UniversityNanjingJiangsu 210093China

School of Computer Science and EngineeringUniversity of Electronic Science and Technology of ChinaChengduSichuan 610054China

State Key Laboratory for Novel Software Technology,Nanjing University

School of Computer Science and Engineering,University of Electronic Science and Technology of China

Department of Computer and Information Engineering, Luoyang Institute of Technology

⁰