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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE communications letters Jg. 24; H. 1; S. 90 - 94
Hauptverfasser: Ge, Qichao, Zhang, Yongshun, Wang, Yizhe
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.01.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
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
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung: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.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1089-7798
1558-2558
DOI:10.1109/LCOMM.2019.2950029