Digital modulation signals recognition with alpha-stable noise

摘要

The traditional methods of digital modulation signals recognition with Alpha stable distribution noise have poor performance. A novel recognition method of digital modulation signal based on generalized cumulant is proposed to solve this problem. The characteristic parameters which are generalized cumulants are used in this method, and then the minimum mean square error classifier is used to achieve modulation recognition of digital modulation signal with Alpha stable distribution noise. Simulation results show that the proposed method has better performance than the traditional recognition methods in Alpha stable distribution noise environment.