Water-Filling Solution for Distributed Estimation of Correlated Data in WSN MIMO System. (18th September 2013)

• Record Type: Journal Article
• Authors: Arifin, Ajib Setyo; Ohtsuki, Tomoaki
• Other Names: Olteanu A. Academic Editor.; Song A. Academic Editor.; Tavli B. Academic Editor.; Wang Y.-C. Academic Editor.
• Is Part Of: ISRN sensor networks. Volume 2013(2013)
• Publication Date: 2013-09-18
• Subjects: Sensor networks -- Periodicals; Wireless sensor networks -- Periodicals; Sensor networks; Wireless sensor networks; Periodicals; 006.25
• DOI: 10.1155/2013/345457
• Languages: English
• ISSNs: 2090-7745

Abstract

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