A novel cyclic correntropy MUSIC algorithm of cyclostationary signal based on UCA in impulsive noise

摘要

Communication system commonly exists cochannel 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 nonGaussian 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.