scholarly journals Transmit/Receive Spatial Smoothing with Improved Effective Array Aperture for Angle and Mutual Coupling Estimation in Bistatic MIMO Radar

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Haomiao Liu ◽  
Xiaojun Yang ◽  
Rong Wang ◽  
Wei Jin ◽  
Weimin Jia
Keyword(s):  
Mutual Coupling ◽  
Linear Array ◽  
Mimo Radar ◽  
Coupling Coefficients ◽  
Spatial Smoothing ◽  
Bistatic Mimo Radar ◽  
Temporal Domain ◽  
Effective Aperture ◽  
Array Aperture ◽  
Esprit Algorithm

We proposed a transmit/receive spatial smoothing with improved effective aperture approach for angle and mutual coupling estimation in bistatic MIMO radar. Firstly, the noise in each channel is restrained, by exploiting its independency, in both the spatial domain and temporal domain. Then the augmented transmit and receive spatial smoothing matrices with improved effective aperture are obtained, by exploiting the Vandermonde structure of steering vector with uniform linear array. The DOD and DOA can be estimated by utilizing the unitary ESPRIT algorithm. Finally, the mutual coupling coefficients of both the transmitter and the receiver can be figured out with the estimated angles of DOD and DOA. Numerical examples are presented to verify the effectiveness of the proposed method.

Conjugate ESPRIT algorithm for bistatic MIMO radar

2010 ◽  
Vol 46 (25) ◽  
pp. 1692 ◽  
Author(s):  
M.L. Yang ◽  
B.X. Chen ◽  
X.Y. Yang
Keyword(s):  
Mimo Radar ◽  
Bistatic Mimo Radar ◽  
Esprit Algorithm

Tensor-based real-valued subspace approach for angle estimation in bistatic MIMO radar with unknown mutual coupling

2015 ◽  
Vol 116 ◽  
pp. 152-158 ◽  
Author(s):  
Xianpeng Wang ◽  
Wei Wang ◽  
Jing Liu ◽  
Qi Liu ◽  
Ben Wang
Keyword(s):  
Mutual Coupling ◽  
Mimo Radar ◽  
Angle Estimation ◽  
Bistatic Mimo Radar

scholarly journals Joint Angles and Mutual Coupling Estimation Algorithm for Bistatic MIMO Radar

2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
Jianfeng Li ◽  
Xiaofei Zhang
Keyword(s):  
Mutual Coupling ◽  
Multiple Input Multiple Output ◽  
Computational Cost ◽  
Estimation Algorithm ◽  
Mimo Radar ◽  
Coupling Coefficients ◽  
Angle Estimation ◽  
One Dimensional ◽  
Input Multiple Output ◽  
The One

We study the problem of angle estimation for a bistatic multiple-input multiple-output (MIMO) radar with unknown mutual coupling and proposed a joint algorithm for angles and mutual coupling estimation with the characteristics of uniform linear arrays and subspaces exploitation. We primarily obtain an initial estimate of DOA and DOD, then employ the local one-dimensional searching to estimate exactly DOA and DOD, and finally evaluate the parameters of mutual coupling coefficients via the estimated angles. Exploiting twice of the one-dimensional local searching, our method has much lower computational cost than the algorithm in (Liu and Liao (2012)), and automatically obtains the paired two-dimensional angle estimation. Slightly better performance for angle estimation has been achieved via our scheme in contrast to (Liu and Liao (2012)), while the two methods indicate very close performance of mutual coupling estimation. The simulation results verify the algorithmic effectiveness of our scheme.

scholarly journals Beamspace Unitary ESPRIT Algorithm for Angle Estimation in Bistatic MIMO Radar

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Dang Xiaofang ◽  
Chen Baixiao ◽  
Yang Minglei ◽  
Zheng Guimei
Keyword(s):  
Multiple Input Multiple Output ◽  
Low Complexity ◽  
Mimo Radar ◽  
Element Space ◽  
Bistatic Mimo Radar ◽  
Direction Of Departure ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Joint Direction ◽  
Esprit Algorithm

The beamspace unitary ESPRIT (B-UESPRIT) algorithm for estimating the joint direction of arrival (DOA) and the direction of departure (DOD) in bistatic multiple-input multiple-output (MIMO) radar is proposed. The conjugate centrosymmetrized DFT matrix is utilized to retain the rotational invariance structure in the beamspace transformation for both the receiving array and the transmitting array. Then the real-valued unitary ESPRIT algorithm is used to estimate DODs and DOAs which have been paired automatically. The proposed algorithm does not require peak searching, presents low complexity, and provides a significant better performance compared to some existing methods, such as the element-space ESPRIT (E-ESPRIT) algorithm and the beamspace ESPRIT (B-ESPRIT) algorithm for bistatic MIMO radar. Simulation results are conducted to show these conclusions.

Angle estimation and mutual coupling self-calibration for ULA-based bistatic MIMO radar

2018 ◽  
Vol 144 ◽  
pp. 61-67 ◽  
Author(s):  
Fangqing Wen ◽  
Zijing Zhang ◽  
Ke Wang ◽  
Guanqun Sheng ◽  
Gong Zhang
Keyword(s):  
Mutual Coupling ◽  
Mimo Radar ◽  
Angle Estimation ◽  
Bistatic Mimo Radar ◽  
Self Calibration

Conjugate Unitary ESPRIT Algorithm for Bistatic MIMO Radar

2013 ◽  
Vol E96.C (1) ◽  
pp. 124-126 ◽  
Author(s):  
Wei WANG ◽  
Xian-peng WANG ◽  
Yue-hua MA ◽  
Xin LI
Keyword(s):  
Mimo Radar ◽  
Bistatic Mimo Radar ◽  
Esprit Algorithm
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