Distributed estimation for vector signal in linear coherent sensor networks

Chien Hsien Wu*, Ching-An Lin

*Corresponding author for this work

Research output: Contribution to journalArticle

2 Scopus citations

Abstract

We introduce the distributed estimation of a random vector signal in wireless sensor networks that follow coherent multiple access channel model. We adopt the linear minimum mean squared error fusion rule. The problem of interest is to design linear coding matrices for those sensors in the network so as to minimize mean squared error of the estimated vector signal under a total power constraint. We show that the problem can be formulated as a convex optimization problem and we obtain closed form expressions of the coding matrices. Numerical results are used to illustrate the performance of the proposed method.

Original languageEnglish
Pages (from-to)460-465
Number of pages6
JournalIEICE Transactions on Communications
VolumeE95-B
Issue number2
DOIs
StatePublished - 1 Jan 2012

Keywords

  • Convex optimization
  • Distributed estimation
  • Power allocation
  • Wireless sensor network

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