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CLC number: TN911.7
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2022-05-04
Cited: 0
Clicked: 5718
Citations: Bibtex RefMan EndNote GB/T7714
Three-dimensional localization of near-field and strictly noncircular sources using steering vector decomposition
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Zheng LI, Jinqing SHEN, Xiaofei ZHANG. Three-dimensional localization of near-field and strictly noncircular sources using steering vector decomposition[J]. Frontiers of Information Technology & Electronic Engineering, 2022, 23(4): 644-652.
@article{title="Three-dimensional localization of near-field and strictly noncircular sources using steering vector decomposition",
author="Zheng LI, Jinqing SHEN, Xiaofei ZHANG",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="23",
number="4",
pages="644-652",
year="2022",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.2100034"
}
%0 Journal Article
%T Three-dimensional localization of near-field and strictly noncircular sources using steering vector decomposition
%A Zheng LI
%A Jinqing SHEN
%A Xiaofei ZHANG
%J Frontiers of Information Technology & Electronic Engineering
%V 23
%N 4
%P 644-652
%@ 2095-9184
%D 2022
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.2100034
TY - JOUR
T1 - Three-dimensional localization of near-field and strictly noncircular sources using steering vector decomposition
A1 - Zheng LI
A1 - Jinqing SHEN
A1 - Xiaofei ZHANG
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 23
IS - 4
SP - 644
EP - 652
%@ 2095-9184
Y1 - 2022
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.2100034
Abstract: The three-dimensional localization problem for noncircular sources in near-field with a centro-symmetric cross array is rarely studied. In this paper, we propose an algorithm with improved estimation performance. We decompose the multiple parameters of the steering vector in a specific order so that it can be converted into the products of several matrices, and each of the matrices includes only one parameter. On this basis, each parameter to be resolved can be estimated by performing a one-dimensional spatial spectral search. Although the computational complexity of the proposed algorithm is several times that of our previous algorithm, the estimation performance, including its error and resolution, with respect to the direction of arrival, is improved, and the range estimation performance can be maintained. The superiority of the proposed algorithm is verified by simulation results.
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