Robust Sparse Representation for DOA Estimation With Unknown Mutual Coupling Under Impulsive Noise

A variety of approaches have been exploited for DOA estimation with unknown mutual coupling in recent years. However, they usually suffer performance degradation under impulsive noise. To overcome this problem, an improved method for DOA estimation in the presence of unknown mutual coupling is propo...

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Bibliographic Details
Published inIEEE communications letters Vol. 24; no. 7; pp. 1455 - 1458
Main Authors Zhang, Jiacheng, Qiu, Tianshuang, Luan, Shengyang
Format Journal Article
LanguageEnglish
Published New York IEEE 01.07.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Algorithms
Cauchy-score function
Computer simulation
Cost function
Direction-of-arrival estimation
DOA estimation
Estimation
impulsive noise
Mutual coupling
Performance degradation
Representations
Sensor arrays
Sparse matrices
sparse representation
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Summary:A variety of approaches have been exploited for DOA estimation with unknown mutual coupling in recent years. However, they usually suffer performance degradation under impulsive noise. To overcome this problem, an improved method for DOA estimation in the presence of unknown mutual coupling is proposed. Firstly, a sparse representation of the received signals is created by the aid of the structure of mutual coupling matrix (MCM). Subsequently, a Cauchy-score based cost function is utilized to reconstruct the sparse model and realize DOA estimation. Numerous experiments are carried out to evaluate the algorithms and simulation results confirm that our method shows superior performance than existing methods.
ISSN:1089-7798
1558-2558
DOI:10.1109/LCOMM.2020.2983038