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由于多调制的存在,对于一个通信信号进行接收解调的前提条件是首先要确定该信号的调制样式,因此信号调制样式的自动识别是软件无线电接收机中必须具备的功能之一。文中研究了8种常用数字调制信号识别的特征参数集,并采用决策树判别方法进行分类识别。仿真结果表明,在SNR≥10dB时,识别正确率在99%以上。其特点是,算法简单,识别正确率高,达到了自动分类识别的目的,并有利于实现识别的实时化。
Due to the existence of multiple modulations, the precondition for receiving and demodulating a communication signal is to determine the modulation style of the signal firstly. Therefore, the automatic recognition of the signal modulation pattern is one of the functions that must be possessed by the software radio receiver. In this paper, eight commonly used digital modulation signal recognition feature parameter sets are studied, and the decision tree classification method is used to classify and identify them. Simulation results show that when SNR≥10dB, the recognition accuracy is above 99%. It is characterized by simple algorithm, high recognition accuracy, to achieve the purpose of automatic classification and identification, and is conducive to real-time identification.