利用幅度特性对数字信号调制方式进行识别

摘要

this paper proposes a modulated signal using only the instantaneous amplitude characteristics can then modulated signal to recognize the new algorithm, using the characteristic parameters extraction and decision tree classifier based on six commonly used digital signal modulation recognition. First put forward the use of analytic functions and Hilbert transform digital signal instantaneous magnitude methods of extraction, second to six of instantaneous magnitude of signal was analyzed, and the difference between different. Then select the four based on instantaneous amplitude of the characteristic parameters, through the selection decision tree classifier for recognition and classification, citing the flow chart. Finally the simulation experiment and the simulation result analysis, the paper puts forward the countermeasures. Finally, the simulation experiment simulation results show that the algorithm can effectively identify digital modulation signal and ordinary modulation identification method with simple and clear, compared to small burden.%数字调制方式的识别对于通信信号分析有着重要的作用。针对数字信号（2ASK,4ASK,2PSK,4PSK,2FSK和4FSK）的调制方式,本文提出了一种只利用调制信号瞬时幅度特性便可以对调制信号进行识别的新算法,利用特征参数提取与决策树分类器结合对以上6种数字信号进行调制识别。首先提出了使用希尔伯特变换和解析函数对数字信号瞬时幅度的提取方法,其次对6种信号的瞬时幅度进行了分析,区别其不同。然后选取了4个基于瞬时幅度的特征参数,通过选用决策树分类器进行识别分类,并给出流程图。最后进行了仿真实验,仿真结果表明该算法能够有效识别数字调制信号,与普通的调制识别方法相比,简单明了,运算量小。