基于小波变换熵值及高阶累积量联合的卫星信号调制识别算法

调制识别是信号检测与解调的关键环节，针对卫星调制中采用的MAPSK，MQAM，MFSK，MPSK方式，提出了一种计算小波变换熵值并结合高阶累积量的联合调制识别算法.根据小波变换对时频信息敏感的特点，不同调制方式高阶累积量计算结果的区分性以及不同复杂度的调制信号熵值结果不同，分析了以上4类调制信号的计算结果，提出了基于小波变换熵值及高阶累积量联合的卫星信号调制识别算法.计算调制信号小波系数，据此计算熵值，实现对调制信号的类别划分，使用高阶累积量实现类别内的信号分类.经过仿真分析，可实现在8dB以上达到0.9识别率的效果，该方法对高阶（64阶调制）信号识别具有一定借鉴意义. 

A Modulation Recognition Algorithm Based on Wavelet Transform Entropy and High-order Cumulant for Satellite Signal Modulation

Modulation recognition is the key link of signal detection and demodulation. Aiming at MAPSK, MQAM, MFSK and MPSK modes used in satellite modulation, a joint modulation recognition algorithm is proposed, which calculates the entropy of wavelet transform and combines highorder cumulant. According to the characteristics of the wavelet transform pair frequency sensitive information, different modulation method to distinguish the results of the calculation of higher-order cumulant and the modulation signal of different complexity entropy results, the calculation results of the above four 4 kinds of modulation signal are analyzed, and entropy is proposed based on wavelet transform and higher-order cumulants joint satellite signal modulation recognition algorithm. Based on the calculated wavelet coefficients of modulation signals, the classification of modulation signals is realized by calculating the entropy value, and the signal classification within the class is realized by using the high-order cumulant. Through simulation analysis, the recognition effect of 0.9 above 8 dB can be achieved. In addition, the method has reference significance for high order (64 order modulation) signals.