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基于均匀分布双同心圆环阵列的相干源波达方向估计

DOA Estimation for Coherent Sources Based on Uniformly Distributed Two Concentric Rings Array.

作者信息

Han Chuang, Guo Shenghong, Yan Ning, Dong Jingwei, Xing Bowen

机构信息

Heilongjiang Province Key Laboratory of Laser Spectroscopy Technology and Application, Harbin University of Science and Technology, Harbin 150080, China.

College of Engineering Science and Technology, Shanghai Ocean University, Shanghai 201306, China.

出版信息

Sensors (Basel). 2023 Oct 12;23(20):8408. doi: 10.3390/s23208408.

DOI:10.3390/s23208408
PMID:37896502
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10611304/
Abstract

The direction estimation of the coherent source in a uniform circular array is an essential part of the signal processing area of the array, but the traditional uniform circular array algorithm has a low localization accuracy and a poor localization effect on the coherent source. To solve this problem, this paper proposes a two-dimensional direction of arrival (DOA) estimation for the coherent source in broadband. Firstly, the central frequency of the coherent sound source is estimated using the frequency estimation method of the delayed data, and a real-valued beamformer is constructed using the concept of the multiloop phase mode. Then, the cost function in the beam space is obtained. Finally, the cost function is searched in two dimensions to locate the sound source. In this paper, we simulate the DOA of the sound source at different frequencies and signal-to-noise ratios and analyze the resolution of the circular array. The simulation results show that the proposed algorithm can estimate the direction of arrival with high precision and achieve the desired results.

摘要

均匀圆形阵列中相干源的方向估计是阵列信号处理领域的重要组成部分,但传统的均匀圆形阵列算法对相干源的定位精度较低且定位效果不佳。为解决这一问题,本文提出了一种宽带相干源二维波达方向(DOA)估计方法。首先,利用延迟数据的频率估计方法估计相干声源的中心频率,并采用多环相位模式的概念构建实值波束形成器。然后,得到波束空间中的代价函数。最后,在二维空间中搜索代价函数以定位声源。本文对不同频率和信噪比下声源的DOA进行了仿真,并分析了圆形阵列的分辨率。仿真结果表明,所提算法能够高精度地估计波达方向并取得理想效果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0389/10611304/b2982f6e0c10/sensors-23-08408-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0389/10611304/f9e4c3efee87/sensors-23-08408-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0389/10611304/e04b966cc529/sensors-23-08408-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0389/10611304/acabe7a12d8b/sensors-23-08408-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0389/10611304/1cb528deb690/sensors-23-08408-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0389/10611304/601543fc4fc0/sensors-23-08408-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0389/10611304/2355849e61e3/sensors-23-08408-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0389/10611304/b2982f6e0c10/sensors-23-08408-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0389/10611304/f9e4c3efee87/sensors-23-08408-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0389/10611304/e04b966cc529/sensors-23-08408-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0389/10611304/acabe7a12d8b/sensors-23-08408-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0389/10611304/1cb528deb690/sensors-23-08408-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0389/10611304/601543fc4fc0/sensors-23-08408-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0389/10611304/2355849e61e3/sensors-23-08408-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0389/10611304/b2982f6e0c10/sensors-23-08408-g007.jpg

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本文引用的文献

1
Ambiguity Resolution for Passive 2-D Source Localization with a Uniform Circular Array.利用均匀圆形阵列进行二维无源声源定位的歧义消除。
Sensors (Basel). 2018 Aug 13;18(8):2650. doi: 10.3390/s18082650.