Subspace-based compressive sensing algorithm for raypath separation in a shallow-water waveguide
This work addresses interference suppression in multipath underwater acoustic environments, offering a domain-specific improvement for DOA estimation.
The paper tackled the problem of separating closely arriving raypaths in a shallow-water waveguide by proposing a subspace-based compressive sensing algorithm, which successfully enabled separation where existing methods failed, particularly in low SNR environments.
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.