基于累计量的干扰信号调制识别算法

为解决正常通信中检测到非法或干扰信号时的调制识别问题，该文提出了一种共信道干扰信号调制识别算法。分析了相偏、频偏等未知参数对共信道信号四阶累积量的影响并给出降低这些影响的方法。以信号四阶累积量为识别特征对干扰信号的调制方式进行识别。同时给出干扰信号相偏、频偏等参数的估计。实验结果表明了所提算法的有效性。

Modulation Classification Algorithm for Jamming Signal Based on Cumulant

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.