A Low Complexity Algorithm for Direction of Arrival Estimation With Direction-Dependent Mutual Coupling

In this letter, a novel low complexity algorithm with two variants is proposed for improving the efficiency of direction of arrival (DOA) estimation with direction-dependent mutual coupling. In uniform linear array, the special structure of mutual coupling matrix (MCM), which is a banded symmetric T...

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Vydané v:	IEEE communications letters Ročník 24; číslo 1; s. 90 - 94
Hlavní autori:	Ge, Qichao, Zhang, Yongshun, Wang, Yizhe
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.01.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Approximation algorithms Complexity Computational geometry Computer simulation Construction Convexity Coupling coefficients Covariance matrices Direction of arrival direction-dependent Direction-of-arrival estimation Estimation Linear arrays Mathematical analysis Matrix methods Mutual coupling Optimization Orthogonality Signal processing algorithms Symmetric matrices uniform linear array
ISSN:	1089-7798, 1558-2558
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Abstract	In this letter, a novel low complexity algorithm with two variants is proposed for improving the efficiency of direction of arrival (DOA) estimation with direction-dependent mutual coupling. In uniform linear array, the special structure of mutual coupling matrix (MCM), which is a banded symmetric Toeplitz matrix, is exploited in the proposed method. A new transformation is constructed using the structural characteristics of the MCM, and two spectral functions are constructed via the orthogonality of the transformed matrix and the noise subspace. Finally, the two spectral functions are utilized to obtain the DOAs of sources by searching spectrum peaks. The proposed method avoids estimating multiple mutual coupling coefficients and iteratively solving convex optimization problem. The validity and superiority of the novel algorithm in conditions of direction-dependent mutual coupling is demonstrated in the simulations.
AbstractList	In this letter, a novel low complexity algorithm with two variants is proposed for improving the efficiency of direction of arrival (DOA) estimation with direction-dependent mutual coupling. In uniform linear array, the special structure of mutual coupling matrix (MCM), which is a banded symmetric Toeplitz matrix, is exploited in the proposed method. A new transformation is constructed using the structural characteristics of the MCM, and two spectral functions are constructed via the orthogonality of the transformed matrix and the noise subspace. Finally, the two spectral functions are utilized to obtain the DOAs of sources by searching spectrum peaks. The proposed method avoids estimating multiple mutual coupling coefficients and iteratively solving convex optimization problem. The validity and superiority of the novel algorithm in conditions of direction-dependent mutual coupling is demonstrated in the simulations.
Author	Ge, Qichao Wang, Yizhe Zhang, Yongshun
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SubjectTerms	Algorithms Approximation algorithms Complexity Computational geometry Computer simulation Construction Convexity Coupling coefficients Covariance matrices Direction of arrival direction-dependent Direction-of-arrival estimation Estimation Linear arrays Mathematical analysis Matrix methods Mutual coupling Optimization Orthogonality Signal processing algorithms Symmetric matrices uniform linear array
Title	A Low Complexity Algorithm for Direction of Arrival Estimation With Direction-Dependent Mutual Coupling
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