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

Ajib S. Arifin, Tomoaki Ohtsuki

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトル2013 IEEE 77th Vehicular Technology Conference, VTC Spring 2013 - Proceedings
DOI
出版ステータスPublished - 2013 12月 1
イベント2013 IEEE 77th Vehicular Technology Conference, VTC Spring 2013 - Dresden, Germany
継続期間: 2013 6月 22013 6月 5

出版物シリーズ

名前IEEE Vehicular Technology Conference
ISSN(印刷版)1550-2252

Other

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

ASJC Scopus subject areas

  • コンピュータ サイエンスの応用
  • 電子工学および電気工学
  • 応用数学

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