Modulation Classification Algorithm for Jamming Signal Based on Cumulant
基于累计量的干扰信号调制识别算法

In order to solve the modulation classification problem of detecting illegal or jamming signal in normal communication, a new modulation classification algorithm for the same channel jamming signal is proposed. Firstly, the effects of unknown parameters, such as phase offset and frequency offset, on forth-order cumulant of co-channel signal are analyzed and the related improving methods are presented. Then, the modulation classifications of jamming signal are done by forth-order cumulant as classification features. Simultaneously, its phase offset and frequency offset are estimated. The experiment results show the validity of the proposed algorithm.