Arıkan, OrhanBarshan, Billur2016-02-082016-02-0819950277-786Xhttp://hdl.handle.net/11693/27758Date of Conference: 9-14 July 1995Conference Name: SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, 1995The 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.EnglishAcoustic sensorsArray processingTarget localizationMaximum likelihood estimateCramér-Rao Lower BoundConference Paper10.1117/12.217686