Performance analysis of two linear array processing algorithms for obstacle localization

Billur Barshan; Orhan Arikan

doi:10.1117/12.217686

1 September 1995 Performance analysis of two linear array processing algorithms for obstacle localization

Billur Barshan, Orhan Arikan

Proceedings Volume 2561, Signal and Data Processing of Small Targets 1995; (1995) https://doi.org/10.1117/12.217686
Event: SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, 1995, San Diego, CA, United States

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.

Citation Download Citation

Billur Barshan and Orhan Arikan "Performance analysis of two linear array processing algorithms for obstacle localization", Proc. SPIE 2561, Signal and Data Processing of Small Targets 1995, (1 September 1995); https://doi.org/10.1117/12.217686

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