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