Three-dimensional near-field passive localization considering propagation attenuation based on trilinear decomposition

In this paper, a cumulant-based temporal-spatial localization algorithm for near-field (NF) sources is presented, which considers NF sources' propagation attenuation, to estimate three-dimensional (3-D) parameters, namely azimuth, elevation and radial range. The proposed method exploits the sym...

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Bibliographic Details
Published inIEEE sensors journal Vol. 23; no. 15; p. 1
Main Authors Fang, Jiaxiong, Chen, Hua, Liu, Wei, Zhu, Minghong, Wang, Gang
Format Journal Article
LanguageEnglish
Published New York IEEE 01.08.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Algorithms
amplitude attenuation
Arrays
Attenuation
Decomposition
Localization
Matrices (mathematics)
Near fields
near-field
Parameters
Source localization
trilinear decomposition
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Summary:In this paper, a cumulant-based temporal-spatial localization algorithm for near-field (NF) sources is presented, which considers NF sources' propagation attenuation, to estimate three-dimensional (3-D) parameters, namely azimuth, elevation and radial range. The proposed method exploits the symmetry of the cross array to construct a special fourth-order cumulant (FOC) matrix by making use of the spatial and temporal information of the array measurements. Trilinear decomposition is performed to the "pseudo snapshots" data matrix, and the two-dimensional (2-D) angle and range parameters can be extracted from the phase and amplitude attenuation information. The presented work can realize automatic pairing of 3-D parameters with closed-form expressions and no spectral search is needed. Simulation results show that the proposed method offers a satisfactory estimation performance with a low computational complexity.
ISSN:1530-437X
1558-1748
DOI:10.1109/JSEN.2023.3289850