Technical Program

Paper Detail

Paper:SAM-P5.3
Session:Sensor Networks
Time:Wednesday, May 19, 15:30 - 17:30
Presentation: Poster
Topic: Sensor Array and Multichannel Signal Processing: Signal detection and estimation
Title: NETWORK PARAMETER ESTIMATION WITH DETECTION FAILURES
Authors: Emre Ertin; Ohio State University 
 Randolph Moses; Ohio State University 
 Lee Potter; Ohio State University 
Abstract: Distributed sensing systems fuse information from various local measurements to form joint estimates of physical phenomena. We study Bayesian parameter estimation with measurement failures, where the probability of failing to make an observation depends on the unknown parameters. Both the absence and the existence of the measurements provide information about the parameters. We present lower bounds for minimum mean square error estimation. The bounds are applied to the analysis of sensor arrays for source localization and the distributed estimation problem with binary detectors.
 
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