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一种基于相位干涉仪、质心算法和垂足算法相结合的三维近场源定位方法。

A 3-D Near-Field Source Localization Approach Based on the Combination of a Phase Interferometer, the Centroid Algorithm and the Perpendicular Foot Algorithm.

作者信息

Qin Zhijun, Xie Tengfei, Xie Chen, Ma Ziwei, He Di, Chen Xin, Yu Wenxian

机构信息

Institute of Special Equipment Inspection and Research, Jiangxi General Institute of Testing and Certification, Nanchang 330029, China.

Shanghai Key Laboratory of Navigation and Location-Based Services, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, China.

出版信息

Sensors (Basel). 2024 Sep 30;24(19):6364. doi: 10.3390/s24196364.

DOI:10.3390/s24196364
PMID:39409404
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11478960/
Abstract

In this study, several 3-dimensional (3-D) parameter estimation and localization algorithms for wireless near-field (NF) sources are proposed employing the uniform circular array (UCA) structure. In the single-base-station case, the algebraic relation is demonstrated between the azimuth angle under the far-field (FF) assumption and the actual NF source firstly. Secondly, two groups of antenna pairs are selected with distances less than half the wavelength, which are called short baselines in the interferometer method. The foregoing short-baseline method is qualified to localize an NF source. In addition, a long-baseline method is also proposed with further research. Two groups of antenna pairs with distances greater than half the wavelength are selected as two long baselines. In the multiple-base-stations case, another two novel algorithms are also proposed. The first one is the centroid algorithm, which is based on the centroid calculation of three estimated source locations. And the second one is the perpendicular foot algorithm, which takes the perpendicular foot within three estimated source locations as the final positioning location. Simulation results illustrate that the proposed algorithms can achieve higher localization accuracy than the conventional 3-D Root MUSIC method. Moreover, the long-baseline method performs better than the short-baseline method. And it is also shown that the proposed perpendicular foot algorithm shows better performance than the proposed centroid algorithm.

摘要

在本研究中,提出了几种采用均匀圆形阵列(UCA)结构的用于无线近场(NF)源的三维(3-D)参数估计和定位算法。在单基站情况下,首先论证了远场(FF)假设下的方位角与实际NF源之间的代数关系。其次,选择两组距离小于波长一半的天线对,在干涉测量法中这被称为短基线。上述短基线方法有能力对NF源进行定位。此外,还通过进一步研究提出了一种长基线方法。选择两组距离大于波长一半的天线对作为两条长基线。在多基站情况下,还提出了另外两种新颖的算法。第一种是质心算法,它基于三个估计源位置的质心计算。第二种是垂足算法,它将三个估计源位置内的垂足作为最终定位位置。仿真结果表明,所提出的算法比传统的三维根MUSIC方法能实现更高的定位精度。此外,长基线方法比短基线方法性能更好。并且还表明,所提出的垂足算法比所提出的质心算法表现出更好的性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50de/11478960/50cd6702ecdd/sensors-24-06364-g011.jpg
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