標題: Linear coherent distributed estimation over unknown channels
作者: Wu, Chien-Hsien
Lin, Ching-An
電控工程研究所
Institute of Electrical and Control Engineering
關鍵字: Distributed estimation;Channel estimation;Coherent multiple access;Power allocation;Sensor networks
公開日期: 1-四月-2011
摘要: We study linear distributed estimation with coherent multiple access channel model and MMSE fusion rule. The flat fading channels are assumed unknown at the fusion center and need to be estimated. We adopt a two-phase approach, which first estimates channels and then estimates the source signal, to minimize the MSE of the estimated signal. We study optimal power allocation under a total network power constraint. We consider the optimal power allocation scheme in which training power and data power for each sensor are optimized, and the equal power allocation scheme in which training power is optimized while data power for each sensor is set equal. In both schemes, the problem is formulated as a constrained optimization problem and analytical closed-form solution is obtained. Analytic results reveal that (i) with estimated channels, the MSE approaches to a finite nonzero value as the number of sensors increases: (ii) the optimal training powers are the same in both schemes: (iii) the MSE performance compared with the case when channels are known shows the penalty caused by channel estimation becomes worse as the number of sensors increases. Simulation results verify our findings. (C) 2010 Elsevier B.V. All rights reserved.
URI: http://dx.doi.org/10.1016/j.sigpro.2010.10.002
http://hdl.handle.net/11536/9114
ISSN: 0165-1684
DOI: 10.1016/j.sigpro.2010.10.002
期刊: SIGNAL PROCESSING
Volume: 91
Issue: 4
起始頁: 1000
結束頁: 1011
顯示於類別:期刊論文


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