Byun Sung-Hoon, Byun Gihoon, Sabra Karim G
Korea Research Institute of Ships and Ocean Engineering, Daejeon, 34103, Republic of Korea.
Scripps Institution of Oceanography, La Jolla, California 92093-0238, USA.
J Acoust Soc Am. 2018 Dec;144(6):3525. doi: 10.1121/1.5083834.
This article presents a method for improving the performance of the ray-based blind deconvolution (RBD) algorithm, which was first proposed by Sabra, Song, and Dowling [J. Acoust. Soc. Am. (2), EL42-EL47 (2010)]. In order to retrieve the channel impulse response (CIR), the original RBD algorithm uses the source signal phase from a selected single beam output. However, when the impinging multipath signals have low coherence, the channel estimate from a selected beam may not show all paths correctly. In this research, the maximum likelihood estimator, which is called the alternating projection, is applied to separate multipath signals. Then the multiple CIRs obtained from those separated signals are coherently combined. This results in more robust detection of existing multipaths. The performance of the proposed method is verified using Noise09 sea experiment data, where the proposed method better resolves the multipath arrival structure.
本文提出了一种改进基于射线的盲反卷积（RBD）算法性能的方法，该算法最初由萨布拉、宋和道林提出[《美国声学学会杂志》(2)，EL42 - EL47(2010)]。为了恢复信道冲激响应（CIR），原始的RBD算法使用来自选定单波束输出的源信号相位。然而，当入射多径信号的相干性较低时，从选定波束得到的信道估计可能无法正确显示所有路径。在本研究中，应用了称为交替投影的最大似然估计器来分离多径信号。然后，将从这些分离信号中获得的多个CIR进行相干组合。这导致对现有多径的检测更加稳健。使用Noise09海试数据验证了所提方法的性能，在所提方法中能更好地分辨多径到达结构。
