Tensor-Based Angle Estimation Approach for Strictly Noncircular Sources with Unknown Mutual Coupling in Bistatic MIMO Radar

State Key Laboratory of Marine Resource Utilization in South China Sea and College of Information Science and Technology, Hainan University, Haikou 570228, China

School of Microelectronics, Beijing University of Technology, Beijing 100124, China

School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore

Author to whom correspondence should be addressed.

Sensors 2018, 18(9), 2788; https://doi.org/10.3390/s18092788

Received: 11 July 2018 / Revised: 15 August 2018 / Accepted: 22 August 2018 / Published: 24 August 2018

(This article belongs to the Special Issue Recent Advances in Array Processing for Wireless Applications)

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Abstract

In the paper, the estimation of joint direction-of-departure (DOD) and direction-of-arrival (DOA) for strictly noncircular targets in multiple-input multiple-output (MIMO) radar with unknown mutual coupling is considered, and a tensor-based angle estimation method is proposed. In the proposed method, making use of the banded symmetric Toeplitz structure of the mutual coupling matrix, the influence of the unknown mutual coupling is removed in the tensor domain. Then, a special enhancement tensor is formulated to capture both the noncircularity and inherent multidimensional structure of strictly noncircular signals. After that, the higher-order singular value decomposition (HOSVD) technology is applied for estimating the tensor-based signal subspace. Finally, the direction-of-departure (DOD) and direction-of-arrival (DOA) estimation is obtained by utilizing the rotational invariance technique. Due to the use of both noncircularity and multidimensional structure of the detected signal, the algorithm in this paper has better angle estimation performance than other subspace-based algorithms. The experiment results verify that the method proposed has better angle estimation performance. View Full-Text

Keywords: bistatic MIMO radar; angle estimation; strictly noncircular signal; mutual coupling; higher-order singular value decomposition

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MDPI and ACS Style

Guo, Y.; Wang, X.; Wang, W.; Huang, M.; Shen, C.; Cao, C.; Bi, G. Tensor-Based Angle Estimation Approach for Strictly Noncircular Sources with Unknown Mutual Coupling in Bistatic MIMO Radar. Sensors 2018, 18, 2788. https://doi.org/10.3390/s18092788

AMA Style

Guo Y, Wang X, Wang W, Huang M, Shen C, Cao C, Bi G. Tensor-Based Angle Estimation Approach for Strictly Noncircular Sources with Unknown Mutual Coupling in Bistatic MIMO Radar. Sensors. 2018; 18(9):2788. https://doi.org/10.3390/s18092788

Chicago/Turabian Style

Guo, Yuehao, Xianpeng Wang, Wensi Wang, Mengxing Huang, Chong Shen, Chunjie Cao, and Guoan Bi. 2018. "Tensor-Based Angle Estimation Approach for Strictly Noncircular Sources with Unknown Mutual Coupling in Bistatic MIMO Radar" Sensors 18, no. 9: 2788. https://doi.org/10.3390/s18092788

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Tensor-Based Angle Estimation Approach for Strictly Noncircular Sources with Unknown Mutual Coupling in Bistatic MIMO Radar

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