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
所在单位: 生物医学工程学院
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
联系方式: 电子邮箱:qiutsh@dlut.edu.cn; 电话:15898159801
电子邮箱: qiutsh@dlut.edu.cn
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论文类型: 会议论文
发表时间: 2017-01-01
收录刊物: SCIE、CPCI-S
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.