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arXiv · 2103.14236

Subspace-based compressive sensing algorithm for raypath separation in a shallow-water waveguide

Longyu Jiang·Zhe Zhang·Rui Jin·Xiao Zhou·Philippe Roux
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Abstract

Compressive sensing (CS) has been applied to estimate the direction of arrival (DOA) in underwater acoustics. However, the key problem needed to be resolved in a {multipath} propagation environment is to suppress the interferences between the raypaths. Thus, in this paper, {a subspace-based compressive sensing algorithm that formulates the statistic information of the signal subspace in a CS framework is proposed.} The experiment results show that (1) the proposed algorithm enables the separation of raypaths that arrive closely at the {receiver} array and (2) the existing algorithms fail, especially in a low signal-to-noise ratio (SNR) environment.

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Longyu Jiang, Zhe Zhang, Rui Jin, Xiao Zhou, Philippe Roux. 2021-03-26. Subspace-based compressive sensing algorithm for raypath separation in a shallow-water waveguide. https://arxiv.org/abs/2103.14236

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