
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
联系方式:
电子邮箱:
开通时间: ..
最后更新时间:..
点击次数:
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.