ASA 126th Meeting Denver 1993 October 4-8

4aUW4. Optimal detection and source localization in an uncertain, shallow water environment.

J. A. Shorey L. W. Nolte

Dept. of Elec. Eng., Box 90291, Duke Univ., Durham, NC 27708-0291

An optimal a posteriori probability approach to matched-field processing is implemented using the optimum uncertain field processor (OUFP) [A. M. Richardson and L. W. Nolte, J. Acoust. Soc. Am. 89, 2280--2284 (1991)]. Combining Monte Carlo techniques with this processor results in a fast, efficient method for source localization or environmental parameter estimation when the environmental parameter search space is large. Detection and localization performance is presented using the ROC for detection and the LROC (localization receiver operating characteristic) for source localization. Specific results are presented for a shallow water environment as a function of signal-to-noise ratio and environmental uncertainty. [Research supported by ONR under Contract No. N00014-91-J-1448.]