Power constrained distributed estimation with correlated sensor data

Jun Fang, Hongbin Li

Research output: Contribution to journalArticlepeer-review

49 Scopus citations

Abstract

We consider distributed estimation of a random scalar parameter in a power constrained wireless sensor network (WSN), where the measurements are sent from the sensors to the fusion center (FC) over noisy wireless channels by employing an analog transmission scheme. We study the power allocation problem with generally correlated sensor observations that can accommodate nonlinear measurement models and spatially correlated observation noise. An effective solution is developed by utilizing a tractable lower bound of the objective function. The proposed algorithm is also extended for random field estimation. Simulation results are presented to illustrate the effectiveness of the proposed algorithm.

Original languageEnglish
Pages (from-to)3292-3297
Number of pages6
JournalIEEE Transactions on Signal Processing
Volume57
Issue number8
DOIs
StatePublished - 2009

Keywords

  • Distributed estimation
  • Power allocation
  • Wireless sensor networks (WSNs)

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