基于瞬时幅度特征的连续相位调制信号识别

针对非合作通信系统中连续相位调制（CPM）信号识别难的问题，提出一种CPM信号识别新方法。算法以信号的瞬时幅度谱为特征，结合谱线检测，实现了CPM信号与幅移键控（ASK）、正交幅度调制（QAM）、相移键控（PSK）、频移键控（FsK）信号的区分。算法无需各种参数估计及同步等预处理过程，仿真实验结果表明，在信噪比不小于4dB时，CPM信号正确识别率达到95％以上。与已有算法相比，本文所提算法具有计算量小、实现简单和低信噪比下识别率高等优点。

Classification algorithm for CPM signals based on instantaneous amplitude

In the non-cooperation communications system, it is difficuh to recognize Continuous Phase Modulation（CPM） signals. A novel method for the recognition of CPM signals is proposed to solve this problem. By combining spectrum line test, the signals instantaneous amplitude spectrum features are employed to distinguish CPM signals from Amplitude Shift Keying（ASK）, Frequency Shift Keying（FSK）, Phase Shift Keying（PSK）, Quadrature Amplitude Modulation（QAM） signals. The method obviates the requirements of preprocessing tasks like estimation of parameters and synchronization. Simulation results show that the correct classification rate of CPM signals is above 95% under 4 dB SNR. Compared with existing methods, the proposed method which has lower computational costs and higher recognition probability is easy to be implemented.