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CLC number: TP391.4

On-line Access: 2019-07-08

Received: 2017-10-08

Revision Accepted: 2018-09-28

Crosschecked: 2019-06-11

Cited: 0

Clicked: 5101

Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Wen-tao Shi

http://orcid.org/0000-0002-0847-9701

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Frontiers of Information Technology & Electronic Engineering 

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Taylor expansion MUSIC method for joint DOD and DOA estimation in a bistatic MIMO array


Author(s):  Wen-tao Shi, Qun-fei Zhang, Cheng-bing He, Jing Han

Affiliation(s):  School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an 710072, China; more

Corresponding email(s):  swt@nwpu.edu.cn

Key Words:  Bistatic multiple-input multiple-output array, Direction of departure, Direction of arrival, Multiple signal classification, Taylor expansion, Computational complexity


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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,in press.https://doi.org/10.1631/FITEE.1700657

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author="Wen-tao Shi, Qun-fei Zhang, Cheng-bing He, Jing Han",
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publisher="Zhejiang University Press & Springer",
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%A Jing Han
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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.

基于泰勒展开MUSIC的双基地MIMO阵列DOD与DOA联合估计方法

摘要:提出一种基于泰勒展开多信号分类(TE-MUSIC)的双基地多输入多输出(MIMO)阵列发射角(DOD)与接收角(DOA)联合估计法。首先通过泰勒展开阵列流型矢量,将MIMO阵列MUSIC方法中的二维搜索降为一维。然后通过拉格朗日算子,经一维搜索估计目标接收角,并代入MIMO MUSIC空间谱,获得目标的发射角。因此目标的发射角和接收角可自动配对。该方法既减少MIMO MUSIC计算量,又保持方位估计性能。仿真分析证明其性能优于MIMOESPRIT法。

关键词组:双基地MIMO阵列;发射角;接收角;MUSIC方法;泰勒展开;计算量

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

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