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Source Localization in a Randomly Inhomogeneous Channel Using the Multirank Capon Algorithm

  • ACOUSTIC SIGNAL PROCESSING AND COMPUTER SIMULATION
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Abstract—

An adaptive version of the multirank Capon algorithm is constructed for acoustic-source localization by a vertical array in the case of incomplete information on the random propagation channel. Under the assumption that sound scattering is mainly caused by wind seas, statistical modeling is performed to determine the accuracy of source coordinate estimation and the probability of correct source localization. The proposed method is tested by experimental data to demonstrate its performance in the Barents Sea.

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Notes

  1. One possible method of estimating the signal subspace dimension is based on the method of minimum polynomial of the sample covariance matrix [6, 7].

  2. The experiment is described in greater detail in [23, 24].

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ACKNOWLEDGMENTS

We are grateful to A.L. Matveev for supplying us with experimental data.

Funding

This work was supported by the Russian Science Foundation, project no. 20-19-00383.

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Authors and Affiliations

  1. Institute of Applied Physics, Russian Academy of Sciences, Nizhny Novgorod, Russia

    A. G. Sazontov & I. P. Smirnov

  2. Lobachevsky State University, Nizhny Novgorod, Russia

    A. G. Sazontov & I. P. Smirnov

Authors
  1. A. G. Sazontov
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  2. I. P. Smirnov
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Correspondence to A. G. Sazontov.

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Translated by E. Golyamina

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Sazontov, A.G., Smirnov, I.P. Source Localization in a Randomly Inhomogeneous Channel Using the Multirank Capon Algorithm. Acoust. Phys. 67, 653–660 (2021). https://doi.org/10.1134/S1063771021060099

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  • DOI: https://doi.org/10.1134/S1063771021060099

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