QIU Tianshuang   

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Supervisor of Master's Candidates

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Language:English

Paper Publications

Title of Paper:A Novel Cyclic Correntropy MUSIC Algorithm of Cyclostationary Signal Based on UCA in Impulsive Noise

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Date of Publication:2017-01-01

Included Journals:SCIE、CPCI-S

Page Number:2820-2823

Key Words:DOA; cyclostationary signal; impulsive-noise; uniform circular array; cyclic correntropy

Abstract:Communication system commonly exists co-channel interference, which is the main reason why the accuracy of directions-of-arrival (DOAs) estimation is low especially in an alpha stable distribution noise environment. Though the second-order DOA estimation algorithms work well in Gaussian noise, while the methods based on fractional lower-order statistics may do well but which depend on much of apriori knowledge of non Gaussian noise. In order to solve this problem, we proposed a novel MUSIC algorithm of cyclostationary signal based on cyclic correntropy in uniform circular array (UCA) mode. The paper combines the cyclic correlation and correntropy together to build a new statistic named cyclic correntropy. The proposed method can choose the desired signals from the received data Simulation results show that the proposed algorithm has a good performance.

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