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邱天爽
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教授   博士生导师   硕士生导师

性别:男

毕业院校:大连理工大学

学位:博士

学科:信号与信息处理
生物医学工程

办公地点:大连理工大学创新园大厦

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当前位置 : 中文主页 >> 科学研究 >> 论文成果
A Novel Cyclic Correntropy MUSIC Algorithm of Cyclostationary Signal Based on UCA in Impulsive Noise

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发布时间:2019-03-12

论文类型:会议论文

发表时间:2017-01-01

收录刊物:CPCI-S、SCIE

页面范围:2820-2823

关键字:DOA; cyclostationary signal; impulsive-noise; uniform circular array; cyclic correntropy

摘要: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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