基于子空间的浅水波导光路分离压缩感知算法
Subspace-based compressive sensing algorithm for raypath separation in a shallow-water waveguide
摘要：
压缩感知（CS）已被应用于水声信号的波达方向（DOA）估计。然而，在多径传播环境中，需要解决的关键问题是抑制射线路径之间的干扰。因此，在本文中，{一个基于子空间的压缩感知算法，制定了在CS框架中的信号子空间的统计信息。实验结果表明：（1）该算法能够有效分离到达阵列附近的射线路径;（2）现有算法在低信噪比（SNR）环境下无法有效分离射线路径。
英文摘要：
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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