ASA 125th Meeting Ottawa 1993 May

4aUW1. Passive localization and classification at low signal-to-noise via Bayesian inversion.

Nolan R. Davis

Richard Pitre

Code 7144, Naval Res. Lab., Washington, DC 20375-5000

The Bayesian inversion approach [R. Pitre and N. R. Davis, J. Acoust. Soc. Am. 92, 2418 (1992)] is employed to examine integration time dependence of a posteriori source location distributions and to perform spectral estimation. Model calculations are presented for low signal-to-noise conditions.