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A robust Capon-type algorithm is constructed for source localization by a partially calibrated array operating in an uncertain environment. Results of statistical modeling are presented to determine the accuracy of source localization and the probability of correct source detection. Experimental testing of the proposed method is carried out to demonstrate its performance in Ladoga Lake.
The problem of source localization in a shallow-water sea is considered, in which the fully developed sea is the prevailing sound-scattering mechanism. Using the criterion of the signal-to-noise-ratio maximum, we construct robust algorithms for estimating the parameters of partially coherent signals. The results of testing these methods for solving the inverse problem using experimental data obtained...
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