Source localization in an uncertain range-dependent ocean
When the acoustic environment is known, matched field processing (MFP) can be used to estimate the position (range, depth, and bearing) of an acoustic source. When there is mismatch between the actual (measured) and replica (calculated) acoustic fields, however, there is a degradation in performance of the MFP. Localization in the presence of environmental uncertainty then becomes important. An algorithm, termed the optimum uncertain field processor (OUFP), which was designed to operate in an uncertain environment was previously proposed, and results for a range-independent ocean were presented which indicated improved performance over conventional MFP methods in an uncertain environment. In this paper the authors consider the problem of localization in a range-dependent ocean. The OUFP algorithm is used to develop optimum and suboptimum processors. Simulation results of performance and sensitivity are presented.
