Fast raypath separation based on low-rank matrix approximation in a shallow-water waveguide.
J Acoust Soc Am
; 143(4): EL271, 2018 04.
Article
in En
| MEDLINE
| ID: mdl-29716242
ABSTRACT
Subspace algorithms based on higher-order cumulants were developed to achieve high-resolution separation in non-Gaussian processes. However, singular value decomposition (SVD) of a huge matrix is an unavoidable step of these algorithms. The memory space and running time required by the decomposition are super-linear with respect to the size of the matrix, which is prohibitive in terms of practical applications. Thus, in this paper, a fast raypath separation algorithm based on low-rank matrix approximation is proposed in a shallow-water waveguide. The experimental results illustrate that the proposed algorithm dramatically reduces the consumption of time and space, with arbitrarily small error, compared to conventional higher-order cumulant-based algorithms.
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Collection:
01-internacional
Database:
MEDLINE
Language:
En
Journal:
J Acoust Soc Am
Year:
2018
Document type:
Article
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