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Open AccessArticle

Robust Angle Estimation for MIMO Radar with the Coexistence of Mutual Coupling and Colored Noise

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College of Automation, Harbin Engineering University, Harbin 150001, China
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State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou 570228, China
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College of Information Science and Technology, Hainan University, Haikou 570228, China
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College of Electical Engineering and Automation , Harbin Institute of Technology University, Harbin 150001, China
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School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore
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Author to whom correspondence should be addressed.
Sensors 2018, 18(3), 832; https://doi.org/10.3390/s18030832
Received: 9 January 2018 / Revised: 17 February 2018 / Accepted: 3 March 2018 / Published: 9 March 2018
(This article belongs to the Section Remote Sensors, Control, and Telemetry)
This paper deals with joint estimation of direction-of-departure (DOD) and direction-of- arrival (DOA) in bistatic multiple-input multiple-output (MIMO) radar with the coexistence of unknown mutual coupling and spatial colored noise by developing a novel robust covariance tensor-based angle estimation method. In the proposed method, a third-order tensor is firstly formulated for capturing the multidimensional nature of the received data. Then taking advantage of the temporal uncorrelated characteristic of colored noise and the banded complex symmetric Toeplitz structure of the mutual coupling matrices, a novel fourth-order covariance tensor is constructed for eliminating the influence of both spatial colored noise and mutual coupling. After a robust signal subspace estimation is obtained by using the higher-order singular value decomposition (HOSVD) technique, the rotational invariance technique is applied to achieve the DODs and DOAs. Compared with the existing HOSVD-based subspace methods, the proposed method can provide superior angle estimation performance and automatically jointly perform the DODs and DOAs. Results from numerical experiments are presented to verify the effectiveness of the proposed method. View Full-Text
Keywords: MIMO radar; angle estimation; mutual coupling; spatial colored noise; HOSVD MIMO radar; angle estimation; mutual coupling; spatial colored noise; HOSVD
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Wang, J.; Wang, X.; Xu, D.; Bi, G. Robust Angle Estimation for MIMO Radar with the Coexistence of Mutual Coupling and Colored Noise. Sensors 2018, 18, 832.

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