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dc.contributor.authorWu, Chien-Hsienen_US
dc.contributor.authorLin, Ching-Anen_US
dc.date.accessioned2014-12-08T15:11:53Z-
dc.date.available2014-12-08T15:11:53Z-
dc.date.issued2011-04-01en_US
dc.identifier.issn0165-1684en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.sigpro.2010.10.002en_US
dc.identifier.urihttp://hdl.handle.net/11536/9114-
dc.description.abstractWe 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.en_US
dc.language.isoen_USen_US
dc.subjectDistributed estimationen_US
dc.subjectChannel estimationen_US
dc.subjectCoherent multiple accessen_US
dc.subjectPower allocationen_US
dc.subjectSensor networksen_US
dc.titleLinear coherent distributed estimation over unknown channelsen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.sigpro.2010.10.002en_US
dc.identifier.journalSIGNAL PROCESSINGen_US
dc.citation.volume91en_US
dc.citation.issue4en_US
dc.citation.spage1000en_US
dc.citation.epage1011en_US
dc.contributor.department電控工程研究所zh_TW
dc.contributor.departmentInstitute of Electrical and Control Engineeringen_US
dc.identifier.wosnumberWOS:000286864700030-
dc.citation.woscount2-
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