SOURCE LOCALIZATION IN NOISY AND UNCERTAIN OCEAN ENVIRONMENTS

Interference from noise and uncertainties in the environmental paramet ers are arguably the two most serious limitations in matched-field pro cessing (MFP). Among the techniques that have been developed for handl ing these difficulties are the noise-canceling processor [M. D. Collin s, N. C. Makris, and L. T. Fialkowski, ''Noise cancellation and source localization,'' J. Acoust. Sec. Am. 96, 1773-1776 (1994)] and focaliz ation [M. D. Collins and W. A. Kuperman, ''Focalization: Environmental focusing and source localization,'' J. Acoust. Sec. Am. 90, 1410-1422 (1991)]. The noise-canceling processor is a generalization of the Bar tlett processor that is based on matching the covariance matrix of the data with replica covariance matrices of the signal and the noise. Si mulations are presented to illustrate the performance of the noise-can celing processor when there are errors in the noise replica. Focalizat ion is a generalization of MFP in which environmental parameters are i ncluded along with source parameters in the search space. An implement ation of this approach that is suitable for applications is developed and tested. The noise-canceling processor and focalization are used to simulate the localization of a source buried in noise in an uncertain environment. (C) 1997 Acoustical Society of America.