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基于深水鳐的近地表源盲反卷积,采用底部系泊短孔径垂直基阵。

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

机构信息

School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an, 710072, China

出版信息

JASA Express Lett. 2022 Feb;2(2):026001. doi: 10.1121/10.0009380.

DOI:10.1121/10.0009380
PMID:36154267
Abstract

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.

摘要

提出了一种基于深水鳐的盲反卷积(DW-RBD)方法,用于估计近地表源的信道冲激响应,该源带有底部系泊的垂直阵。当原始 RBD 由于波束分辨率不足而导致性能下降时,建议采用 DW-RBD。该信号处理方案一致地利用了常规宽带波束形成输出中隐含的多径时延时的信息。然后基于成像理论导出一个与时延相关的补偿项,并将其引入原始 RBD 中,以增强多径分离。仿真和实验结果均证明了该方法的有效性。

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