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

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.