CLC number: TP391.4
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2019-06-11
Cited: 0
Clicked: 7209
Wen-tao Shi, Qun-fei Zhang, Cheng-bing He, Jing Han. Taylor expansion MUSIC method for joint DOD and DOA estimation in a bistatic MIMO array[J]. Frontiers of Information Technology & Electronic Engineering, 2019, 20(6): 842-848.
@article{title="Taylor expansion MUSIC method for joint DOD and DOA estimation in a bistatic MIMO array",
author="Wen-tao Shi, Qun-fei Zhang, Cheng-bing He, Jing Han",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="20",
number="6",
pages="842-848",
year="2019",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.1700657"
}
%0 Journal Article
%T Taylor expansion MUSIC method for joint DOD and DOA estimation in a bistatic MIMO array
%A Wen-tao Shi
%A Qun-fei Zhang
%A Cheng-bing He
%A Jing Han
%J Frontiers of Information Technology & Electronic Engineering
%V 20
%N 6
%P 842-848
%@ 2095-9184
%D 2019
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.1700657
TY - JOUR
T1 - Taylor expansion MUSIC method for joint DOD and DOA estimation in a bistatic MIMO array
A1 - Wen-tao Shi
A1 - Qun-fei Zhang
A1 - Cheng-bing He
A1 - Jing Han
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 20
IS - 6
SP - 842
EP - 848
%@ 2095-9184
Y1 - 2019
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.1700657
Abstract: We propose a taylor expansion multiple signal classification (TE MUSIC) method for joint direction of departure (DOD) and direction of arrival (DOA) estimation in a bistatic multiple-input multiple-output (MIMO) array. First, using a taylor expansion of the steering vector, a two-dimensional (2D) search in the conventional MUSIC method for MIMO arrays is reduced to a two-step one-dimensional (1D) search in the proposed TE MUSIC method. Second, DOAs of the targets can be achieved via Lagrange multiplier by a 1D search. Finally, substituting the DOA estimates into the 2D MUSIC spectrum function, DODs of the targets are obtained by another 1D search. Thus, the DOD and DOA estimates can be automatically paired. The performance of the proposed method is better than that of the MIMO ESPRIT method, and is similar to that of the 2D MUSIC method. Furthermore, due to the 1D search, the TE MUSIC method avoids the high computational complexity of the 2D MUSIC method. Simulation results are presented to show the effectiveness of the proposed method.
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