We constructed an adaptive modal rank-reduction algorithm for acoustic source localization with a vertical sensor array operating under conditions of incomplete information on the spatial variability of the waveguide propagation channel. It has been established by means of statistical modeling that the proposed estimator gives a significant advantage in the accuracy of the source position finding as well as in the achieved probability of correct source localization in comparison with the conventional MUSIC and maximum likelihood methods for processing in the array-element space. The proposed method was verified by its application to the experimental data obtained in the Ladoga lake. It has been shown that the corresponding adaptive algorithm (combined with mode filtering) has a sufficiently high resolution, guarantees stability of the estimation procedure to the deterministic mismatch caused by imprecise knowledge of the seabed geoacoustic properties and, in contrast to the conventional techniques, provides an accurate solution to the inverse problem.
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Translated from Izvestiya Vysshikh Uchebnykh Zavedenii, Radiofizika, Vol. 62, No. 9, pp. 681–693, September 2019.
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Sazontov, A.G., Smirnov, I.P. Source Localization in a Non-Uniform Acoustic Waveguide Using the Modal Rank-Reduction Algorithm. Radiophys Quantum El 62, 606–617 (2020). https://doi.org/10.1007/s11141-020-10006-2
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DOI: https://doi.org/10.1007/s11141-020-10006-2