基于联合特征参数的卫星单-混信号调制识别研究

In order to tackle the problem of single-mixed signal modulation type recognition with low efficiency and poor accuracy in satellite communication, based on clustering characteristics of constellation and high order cumulants, a joint algorithm is proposed. Firstly, three characteristic parameters is constructed with the utilization of the 4th and 6th order cumulants to identify Multiple Phase Shift Keying (MPSK) and partial Multiple Quadrature Amplitude Modulation (MQAM) modulation types, then the improved constellation subtraction clustering algorithm is combined to separate the remaining modulation patterns, At last, the parameters are integrated to establish a decision tree classifier for unified scheduling. By adopting the method of this article, many signals without prior knowledge are unnecessarily required, and meanwhile the proposed approach maintains the characteristics of simple feature extraction parameters and multiple recognition types. The simulation experiments demonstrate that the associated algorithm is still able to achieve the validity of more than 90%, in the circumstance of the satellite single-mixed signals possessing a Signal-to-Noise Ratio (SNR) of 10 dB.