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

Ajib S. Arifin, Tomoaki Ohtsuki

研究成果: Conference contribution

4 引用 (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.

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

Other

Other2013 IEEE 77th Vehicular Technology Conference, VTC Spring 2013
Germany
Dresden
期間13/6/213/6/5

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

ASJC Scopus subject areas

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

これを引用

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

IEEE Vehicular Technology Conference. 2013. 6692616.

研究成果: Conference contribution

Arifin, AS & Ohtsuki, T 2013, Linear precoding for distributed estimation of correlated sources in WSN MIMO system. : 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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