CLC number: TN911.7
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2019-09-04
Cited: 0
Clicked: 6253
Jia-jia Zhang, Hui Chen, Song Xiao, Meng-yu Ni. A comprehensive error calibration method based on dual uniform circular array[J]. Frontiers of Information Technology & Electronic Engineering, 2019, 20(10): 1415-1428.
@article{title="A comprehensive error calibration method based on dual uniform circular array",
author="Jia-jia Zhang, Hui Chen, Song Xiao, Meng-yu Ni",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="20",
number="10",
pages="1415-1428",
year="2019",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.1800240"
}
%0 Journal Article
%T A comprehensive error calibration method based on dual uniform circular array
%A Jia-jia Zhang
%A Hui Chen
%A Song Xiao
%A Meng-yu Ni
%J Frontiers of Information Technology & Electronic Engineering
%V 20
%N 10
%P 1415-1428
%@ 2095-9184
%D 2019
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.1800240
TY - JOUR
T1 - A comprehensive error calibration method based on dual uniform circular array
A1 - Jia-jia Zhang
A1 - Hui Chen
A1 - Song Xiao
A1 - Meng-yu Ni
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 20
IS - 10
SP - 1415
EP - 1428
%@ 2095-9184
Y1 - 2019
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.1800240
Abstract: Based on the dual uniform circular array, a novel method is proposed to estimate the direction-of-arrival (DOA) and jointly calibrate gain-phase errors, position errors, and mutual coupling errors. In this paper, only one auxiliary source is required to generate three time-disjoint calibration sources with the help of the rotation platform. Subsequently, according to the principle that the signal subspace is orthogonal to the noise subspace, the cost function is constructed. The alternating iteration method is used to estimate the coefficients of the three kinds of errors. During the process, the proposed algorithm makes full use of the structural characteristics of the array when estimating mutual coupling errors, while the signal phase matrix is used to eliminate the phase influence caused by the delay in signal arrival at the antenna array when estimating gain-phase errors and position errors. Compared with the algorithm using multidimensional nonlinear search, the proposed algorithm has lower computational complexity. Moreover, our algorithm does not require additional auxiliary sensors. Simulation results demonstrate that the proposed algorithm is effective and can precisely and comprehensively calibrate the errors in a dual uniform circular array.
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