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Modulation Classification Algorithm for Jamming Signal Based on Cumulant |
Cheng Han-wen①②; Zhu Lei①; Wu Le-nan① |
①School of Information Science and Engineering, Southeast University, Nanjing 210096, China; ②Air Defense Forces Command Academy, Zhengzhou 450052, China |
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Abstract 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.
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Received: 18 July 2008
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