Linear precoding for distributed estimation of correlated sources in WSN MIMO system

Ajib S. Arifin, Tomoaki Ohtsuki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

We consider distributed estimation of a random vector signal in a power constraint wireless sensor network (WSN) that follows multiple-input and multiple-output (MIMO) coherent multiple access channel model. We design linear coding matrices based on linear minimum mean squared error (LMMSE) fusion rule that accommodates correlated sources. We obtain a closed-form solution that follows water-filling strategy. We also derive a lower bound distortion to this model. Simulation results show that when the sources are more correlated, the distortion in terms of mean squared error (MSE) degrades. By taking into account the effects of correlation, observation, and channel matrices, the proposed method performs better than equal power method.

Original languageEnglish
Title of host publicationIEEE Vehicular Technology Conference
DOIs
Publication statusPublished - 2013
Event2013 IEEE 77th Vehicular Technology Conference, VTC Spring 2013 - Dresden, Germany
Duration: 2013 Jun 22013 Jun 5

Other

Other2013 IEEE 77th Vehicular Technology Conference, VTC Spring 2013
CountryGermany
CityDresden
Period13/6/213/6/5

Fingerprint

Linear Precoding
Distributed Estimation
Mean Squared Error
Wireless Sensor Networks
Wireless sensor networks
Power Method
Fusion Rule
Multiple Access Channel
Output
Channel Model
Random Vector
Closed-form Solution
Fusion reactions
Coding
Lower bound
Water
Simulation
Model
Design
Strategy

Keywords

  • Distributed estimation
  • MIMO
  • Power constraint
  • Spatial correlated data
  • Water-filling
  • Wireless sensor network

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Applied Mathematics

Cite this

Linear precoding for distributed estimation of correlated sources in WSN MIMO system. / Arifin, Ajib S.; Ohtsuki, Tomoaki.

IEEE Vehicular Technology Conference. 2013. 6692616.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Arifin, AS & Ohtsuki, T 2013, Linear precoding for distributed estimation of correlated sources in WSN MIMO system. in IEEE Vehicular Technology Conference., 6692616, 2013 IEEE 77th Vehicular Technology Conference, VTC Spring 2013, Dresden, Germany, 13/6/2. https://doi.org/10.1109/VTCSpring.2013.6692616
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