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General Correntropy Based DOA Estimation for Coherent Source with Impulsive Noise

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Proceedings of 2019 Chinese Intelligent Systems Conference (CISC 2019)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 593))

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Abstract

This paper reviews and compares three different decorrelation methods for Direction-of-Arrival (DOA) estimation of coherent sources, these include Real-Value (RV), Spatial Smoothing (SS), and Modified Singular Value Decomposition (MSVD). By applying the Correntropy Based Correlation (CRCO) rebuild covariance matrix of array output so as to control the impulsive noise, which is modeled as complex symmetric α-stable distribution. three algorithms were defined, that are CRCO_RV, CRCO_SS, and CRCO_MSVD. The simulation experiments comparing the performance of these methods, highlighting their commonalities and differences.

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Acknowledgments

This work has been supported by the National Natural Science Foundation of China (Grant No: 61701344), Tianjin Edge Technology and Applied Basic Research Project (14JCYBJC15800), Tianjin Normal University Application Development Foundation (52XK1601), Tianjin Normal University Doctoral Foundation (52XB1603, 52XB1713) and Tianjin Higher Education Creative Team Funds Program in China.

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Correspondence to Jin Chen .

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Guan, S., Chen, J., Li, K., Zhao, Y. (2020). General Correntropy Based DOA Estimation for Coherent Source with Impulsive Noise. In: Jia, Y., Du, J., Zhang, W. (eds) Proceedings of 2019 Chinese Intelligent Systems Conference. CISC 2019. Lecture Notes in Electrical Engineering, vol 593. Springer, Singapore. https://doi.org/10.1007/978-981-32-9686-2_20

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