Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/103399
Title: Robust angle estimation for MIMO radar with the coexistence of mutual coupling and colored noise
Authors: Wang, Junxiang
Wang, Xianpeng
Xu, Dingjie
Bi, Guoan
Keywords: Angle Estimation
MIMO Radar
DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2018
Source: Wang, J., Wang, X., Xu, D., & Bi, G. (2018). Robust Angle Estimation for MIMO Radar with the Coexistence of Mutual Coupling and Colored Noise. Sensors, 18(3), 832-. doi:10.3390/s18030832
Series/Report no.: Sensors
Abstract: 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.
URI: https://hdl.handle.net/10356/103399
http://hdl.handle.net/10220/47295
ISSN: 1424-8220
DOI: http://dx.doi.org/10.3390/s18030832
Rights: © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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