A deep-water ray-based blind deconvolution for a near-surface source with a bottom-moored short-aperture vertical array

被引：2

作者：

Xu, Zhezhen ^{[1
]}

Li, Hui ^{[1
]}

Yang, Kunde ^{[1
]}

Li, Peilin ^{[1
]}

机构：

[1] Northwestern Polytech Univ, Sch Marine Sci & Technol, Xian 710072, Peoples R China

来源：

JASA EXPRESS LETTERS | 2022年 / 2卷 / 02期

基金：

中国国家自然科学基金; 中国博士后科学基金;

关键词：

SOURCE DEPTH ESTIMATION;

D O I：

10.1121/10.0009380

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

A deep-water ray-based blind deconvolution (DW-RBD) method for estimating the channel impulse response of a near-surface source with a bottom-moored vertical array is developed. The proposed DW-RBD is an alternative when the original RBD suffers from performance degradation due to the insufficient beam resolution. The signal-processing scheme coherently utilizes the information of multipath time-delay implied in the conventional wideband beamforming output. A time-delay-related compensation term is then derived based on image theory and introduced into the original RBD to enhance multipath separation. Both simulation and experimental results demonstrate the effectiveness of the proposed method. (C) 2022 Author(s). All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).

引用

页数：6