华南理工大学学报(自然科学版) ›› 2012, Vol. 40 ›› Issue (10): 198-202.doi: 1000-565X(2012)10-0198-05

• 校庆专辑 • 上一篇    下一篇

基于无线传感器网络的鲁棒分布式估计

胥布工 刘贵云   

  1. 华南理工大学 自动化科学与工程学院,广东 广州 510640
  • 收稿日期:2012-07-15 出版日期:2012-10-25 发布日期:2012-09-01
  • 通信作者: 胥布工(1956-) ,男,教授,博士生导师,主要从事网络控制研究. E-mail:aubgxu@ scut.edu.cn
  • 作者简介:胥布工(1956-) ,男,教授,博士生导师,主要从事网络控制研究.
  • 基金资助:

    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)

Robust Distributed Estimation in Wireless Sensor Networks

Xu Bu-gong  Liu Gui-yun   

  1. School of Automation Science and Engineering,South China University of Technology,Guangzhou 510640,Guangdong,China
  • Received:2012-07-15 Online:2012-10-25 Published:2012-09-01
  • Contact: 胥布工(1956-) ,男,教授,博士生导师,主要从事网络控制研究. E-mail:aubgxu@ scut.edu.cn
  • About author:胥布工(1956-) ,男,教授,博士生导师,主要从事网络控制研究.
  • Supported by:

    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.

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

Abstract:

In view of both the pollution distribution of the sensor observation noise and the noise in the communication 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 number of sensor nodes.

Key words: wireless sensor networks, distributed estimation, robustness, quantized mean estimator, trimmed mean estimator