Abstract
Based on a previously developed numerical model, a comparative analysis of the efficiency of algorithms for reconstructing the geoacoustic parameters for a seabed with a layered structure is carried out based on probing signals in a synchronized sequence of mutually coherent complex signals. The algorithms differ in how the multiparameter criterion function is constructed; when its extremum is found, it yields an estimate of the required parameters. As such functions, the root-mean-square norm of the signal mismatch, functionals of generalized MUSIC methods, and neuronlike convolution are used. The stability of the estimates obtained (in terms of the mean bias and variance of deviations from the true value) is investigated by stochastic modeling as a function of the signal-to-noise ratio at the receiver inputs. It is shown that the considered algorithms exhibit significantly different noise immunity, which in turn depends on which particular parameter is to be estimated.
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Funding
Research on developing algorithms for estimating parameters and simulating their noise immunity (Sections 4, 5) was carried out under the basic part of the state task of Niznhy Novgorod State University (topic no. 0729-2020-0037); signal and reverberation noise models (Sections 2, 3) were developed under the state task of IAP RAS (topic no. 0030-2021-0009).
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Kalinina, V.I., Smirnov, I.P., Khilko, A.I. et al. Comparative Analysis of the Noise Immunity of Algorithms for Reconstructing Seabed Geoacoustic Parameters by the Coherent Sounding Technique. Acoust. Phys. 67, 381–396 (2021). https://doi.org/10.1134/S1063771021040035
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DOI: https://doi.org/10.1134/S1063771021040035