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

Autor:	Jiang, Longyu, Zhang, Zhe, Jin, Rui, Zhou, Xiao, Roux, Philippe
Rok vydání:	2021
Předmět:	Computer Science - Sound Electrical Engineering and Systems Science - Audio and Speech Processing
Druh dokumentu:	Working Paper
Popis:	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.
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2103.14236 Zobrazit plný text záznamu View this record from Arxiv