Network parameter estimation with detection failures

Author

Ertin, Emre ; Moses, Randolph L. ; Potter, Lee C.

Author_Institution

Dept. of Electr. Eng., Ohio State Univ., Columbus, OH, USA

Volume

2

fYear

2004

fDate

17-21 May 2004

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.

Keywords

Bayes methods; array signal processing; direction-of-arrival estimation; distributed sensors; least mean squares methods; parameter estimation; sensor fusion; Bayesian parameter estimation; binary detectors; detection failures; distributed estimation problem; distributed sensing systems; lower bounds; measurement failures; minimum mean square error estimation; network parameter estimation; probability; sensor arrays; sensor fusion; source localization; Acoustic measurements; Acoustic sensors; Acoustic signal detection; Detectors; Energy measurement; Estimation error; Magnetic sensors; Mean square error methods; Parameter estimation; Sensor arrays;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on

ISSN

1520-6149

Print_ISBN

0-7803-8484-9

Type

conf

DOI

10.1109/ICASSP.2004.1326247

Filename

1326247