A performance analysis of two linear array processing algorithms for obstacle localization

Date
1995
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Source Title
Proceedings of SPIE Vol. 2561, Signal and Data Processing of Small Targets, 1995
Print ISSN
0277-786X
Electronic ISSN
Publisher
SPIE
Volume
2561
Issue
Pages
533 - 544
Language
English
Type
Conference Paper
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Abstract

The performance of a commonly employed linear array of sonar sensors is assessed for point- target localization. Two different methods of combining time-of-flight information from the sensors are described to estimate the range and azimuth of the target: pairwise estimate method and the maximum likelihood estimator. The biases and variances of the methods are investigated and their combined effect is compared to the Cramer-Rao Lower Bound. Simulation studies indicate that in estimating range, both methods perform comparably; in estimating azimuth, maximum likelihood estimate is superior at a cost of extra computation.

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Keywords
Acoustic sensors, Array processing, Target localization, Maximum likelihood estimate, Cramér-Rao Lower Bound
Citation
Published Version (Please cite this version)