基于特征值分解的随机分布传感器信号合成增强

doi:10.3969/j.issn.0372-2112.2015.04.026

电子学报 ›› 2015, Vol. 43 ›› Issue (4): 806-809.DOI: 10.3969/j.issn.0372-2112.2015.04.026

基于特征值分解的随机分布传感器信号合成增强

罗柏文, 王戈, 沈彩耀, 胡云鹏

信息工程大学信息系统工程学院, 河南郑州 450002

收稿日期:2013-03-11 修回日期:2014-07-07 出版日期:2015-04-25
- 作者简介:
- 罗柏文 男,1980年生,博士,主要研究领域为通信信号处理.E-mail:lbw1001825@163.com;王戈男,1981年生,博士,主要研究领域为无线通信.
- 基金资助:
- 国家863高技术研究发展计划 (No.2012AA121606); 国家自然科学基金 (No.61201380)

Signal Combining on a Randomly Distributed Sensor System Based on Eigen Decomposition

LUO Bo-wen, WANG Ge, SHEN Cai-yao, HU Yun-peng

Institute of Information System Engineering, Information Engineering University, Zhengzhou, Henan 450002, China

Received:2013-03-11 Revised:2014-07-07 Online:2015-04-25 Published:2015-04-25
- Supported by:
- National High-tech R&D Program of China (863 Program) (No.2012AA121606); National Natural Science Foundation of China (No.61201380)

摘要/Abstract

摘要：

将传感网中随机布设传感器节点所接收到的微弱信号进行合成,可有效增强传感器网络的信号感知能力.本文关注的是该微弱信号的合成权值估计问题.以合成信号的自相关系数作为目标函数,本文提出了一种基于特征值分解的合成权值估计算法.该算法无需估计噪声相关矩阵,适用于噪声方差不一致的环境.数值仿真结果显示,本文提出的基于自相关系数的特征值分解合成权值估计算法,在低信噪比、噪声方差不等的条件下,性能优于以合成信号信噪比或者合成信号功率为目标函数的特征值分解合成权值估计算法.

关键词: 无线传感器网, 信号合成, 特征值分解, 自相关系数

Abstract:

Randomly distributed sensor nodes in the sensor network may receive weak signals.Signal combining technology can be used to enhance the performance of signal perception for the sensor network system.This paper focuses on the combining weight estimation for weak signal combining for the wireless sensor network.Taking the combined signal autocorrelation coefficient as the object function,this paper proposes an eigen value decomposition-based combining weight estimation algorithm.The algorithm does not require to estimate the noise correlation matrix,and can be applied to the non-uniform noise variance environment.The numerical simulation results show that the proposed algorithm outperforms classical eigen-based algorithm using the combined signal SNR or power as the object function,under low SNR environment with non-uniform noise variance for weak sensor nodes signal combining.

Key words: wireless sensor network, signal combining, eigenvalue decomposition, autocorrelation coefficient

中图分类号:

TN911.23

罗柏文, 王戈, 沈彩耀, 等. 基于特征值分解的随机分布传感器信号合成增强[J]. 电子学报, 2015, 43(4): 806-809.

LUO Bo-wen, WANG Ge, SHEN Cai-yao, et al. Signal Combining on a Randomly Distributed Sensor System Based on Eigen Decomposition[J]. Acta Electronica Sinica, 2015, 43(4): 806-809.

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基于特征值分解的随机分布传感器信号合成增强

Signal Combining on a Randomly Distributed Sensor System Based on Eigen Decomposition

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