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In order to improve the robustness of Adaptive Matched Field Processing(AMFP), a Conditional Probability Constraint Matched Field Processing (MFP-CPC) is proposed. The algorithm derives the posterior probability density of the source locations from Bayesian Criterion, then the main lobe of AMFP is protected and the side lobe is restricted by the posterior probability density, so MFP-CPC not only has...
When under uncertain ocean environment, the environmental model of matched field processing (MFP) is different from the real world. The performance of MFP decreases largely beacuse of the environmental mismatch. In order to improve its robustness to the environmental mismatch, a MFP with posterior probability constraints (MFP-PPC) is proposed. The algorithm derives the posterior probability density...
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