基于无线传感器网络的鲁棒分布式估计  

Robust Distributed Estimation in Wireless Sensor Networks

作　　者：胥布工[1] 刘贵云[1] 

机构地区：[1]华南理工大学自动化科学与工程学院,广东广州510640

出　　处：《华南理工大学学报（自然科学版）》2012年第10期198-202,共5页Journal of South China University of Technology(Natural Science Edition)

基　　金：国家自然科学基金资助项目(61174070);NSFC-广东省自然科学联合基金资助项目(U0735003)

摘　　要：针对无线传感器网络中传感器观测噪声服从污染分布且通信信道存在噪声的情况,提出了两种新的鲁棒分布式估计方案———QME和TME.通过仿真试验对所提出的估计方案的性能进行了验证,并与已知噪声协方差的MLE进行对比.结果表明:QME的估计性能优于TME和已知噪声协方差的MLE;且随着传感器节点个数的增加,QME和MLE的性能都渐渐地趋向其对应的克莱姆下界值.In view of both the pollution distribution of the sensor observation noise and the noise in the communica- tion channels in a wireless sensor network, two novel robust distributed estimation schemes, namely, QME and TME, are proposed in this paper. Then, the performances of the two proposed schemes are verified by a simulation and are compared with those of the MLE scheme with the known noise covariance. The results show that the QME scheme is superior to the TME scheme and the MLE scheme with the known noise covariance in terms of estimation performance; and that the QME and TME schemes asymptotically achieve the CRLB with the increase in the num- ber of sensor nodes.

关 键 词：无线传感器网络 分布式估计 鲁棒性 量化均值估计器 截取均值估计器 

分 类 号：TN393[电子电信—物理电子学]