Posteriori probability source localization in an uncertain shallow water environment (Hudson Canyon)
A wideband Optimum Uncertain Field Processor (OUFP) is presented, which when combined with Monte Carlo techniques, provides a computationally efficient and robust technique for Matched-Field Processing (MFP). Under a simulated Hudson Canyon environment, a quantitative, probabilistic analysis of the sensitivity of matched field processing, assuming a known ocean (OMFP), to various kinds of environmental mismatch is shown. Similarly, the performance of the OUFP is calculated. Finally, it is shown that the localization performance of the wideband OUFP and the suboptimum Bartlett processor are in very good agreement with the performance predicted from the simulation results.
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