基于联合特征参数的卫星单-混信号调制识别研究

针对卫星通信中单-混信号调制类型识别效率低、准确性差等问题，该文提出一种基于高阶累积量和星座图聚类特性的调制识别算法。首先，根据4, 6阶累积量的属性特点构建3个特征参数，以识别多进制相移键控(MPSK)和部分多进制正交幅度调制(MQAM)调制类型，然后结合改进的星座图减法聚类算法分离出剩余调制样式，最后将参数联合，建立决策树分类器进行统一调度。该算法不依赖信号诸多先验信息，具有特征提取参数简单、识别种类多等特点。仿真结果表明，该算法在信噪比(SNR)10 dB下对卫星单-混信号的调制识别率仍能达到90%以上。

Research on Satellite Single-mixed Signal Modulation Recognition Based on Joint Feature Parameters

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.