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基于频率差波数分析的稀疏垂直阵方向估计。

Direction-of-Arrival Estimation Based on Frequency Difference-Wavenumber Analysis for Sparse Vertical Array Configuration.

机构信息

Department of Convergence Study on the Ocean Science and Technology, Korea Maritime and Ocean University, Busan 49112, Republic of Korea.

Department of Ocean Engineering, Korea Maritime and Ocean University, Busan 49112, Republic of Korea.

出版信息

Sensors (Basel). 2022 Dec 28;23(1):337. doi: 10.3390/s23010337.

DOI:10.3390/s23010337
PMID:36616938
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9823616/
Abstract

Frequency-wavenumber (-) analysis can estimate the direction of arrival (DOA) of broadband signals received on a vertical array. When the vertical array configuration is sparse, it results in an aliasing error due to spatial sampling; thus, several striation patterns can emerge in the - domain. This paper extends the - analysis to a sparse receiver-array, wherein a multitude of sidelobes prevent resolving the DOA estimates due to spatial aliasing. The frequency difference-wavenumber (Δf-) analysis is developed by adopting the concept of frequency difference, and demonstrated its performance of DOA estimation to a sparse receiver array. Experimental results verify the robustness of the proposed Δf- analysis in the estimation of the DOA of cracking sounds generated by the snapping shrimps, which were recorded by a sparse vertical array configuration during the shallow water experiment.

摘要

频率波数 (-) 分析可估计垂直阵接收的宽带信号的到达方向 (DOA)。 当垂直阵配置稀疏时，由于空间采样会产生混叠误差; 因此，在 - 域中可能会出现几个条纹图案。本文将 - 分析扩展到稀疏接收阵列，其中多个旁瓣由于空间混叠而阻止了 DOA 估计的分辨率。通过采用频率差的概念，开发了频率差波数 (Δf-) 分析，并对稀疏接收阵列的 DOA 估计性能进行了验证。实验结果验证了所提出的 Δf-分析在浅水实验中由 snapping 虾产生的破裂声的 DOA 估计中的稳健性，该破裂声由稀疏垂直阵配置记录。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4364/9823616/486267c39864/sensors-23-00337-g009.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4364/9823616/f0c79e6607c3/sensors-23-00337-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4364/9823616/9e5923ba5140/sensors-23-00337-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4364/9823616/486267c39864/sensors-23-00337-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4364/9823616/fa9c52d9b45b/sensors-23-00337-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4364/9823616/486267c39864/sensors-23-00337-g009.jpg

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本文引用的文献

1
Frequency-difference autoproduct cross-term analysis and cancellation for improved ambiguity surface robustness.用于提高模糊度表面鲁棒性的频率差自积交叉项分析与消除
J Acoust Soc Am. 2021 Feb;149(2):868. doi: 10.1121/10.0003383.
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