A Modulation Classification Algorithm for MPSK Signals Based on Special Duffing Oscillator
Jin Xiao-yan① Zhou Xi-yuan①②
①(National Key Laboratory of Integrated Services Networks, Xidian University, Xi’an 710071,China) ②(The No.54 Research Institute of CETC, Shijiazhuang 050081, China)
Abstract:A modulation classification scheme based on the chaotic theory is presented in low SNR condition by taking the advantage of the chaotic oscillator at noise management. The principle and method of the modulation classification to MPSK signal are given, and a new Duffing oscillator model is designed to improve the classification performance. The method only uses the prior information of carrier frequency, so it can be implemented without the parameter estimation of phase offset, symbol rate and noise power. Simulation experiments show that the probability of correct classification is larger than 95% for classifying 3 kinds of MPSK signals respectively when the SNR is as low as -5 dB. It verifies the validity of the algorithm.
靳晓艳, 周希元. 一种基于特定Duffing振子的MPSK信号调制识别算法[J]. 电子与信息学报, 2013, 35(8): 1882-1887.
Jin Xiao-Yan, Zhou Xi-Yuan. A Modulation Classification Algorithm for MPSK Signals Based on Special Duffing Oscillator. , 2013, 35(8): 1882-1887.