论文部分内容阅读
文章基于循环平稳信号处理理论,利用数字通信信号的循环谱特征的不同提出四个特征参数,用于信号调制识别。提取的参数较少,计算量较高阶循环累积量小。给出了三类信号调制方式自动识别算法的实现流程,该识别算法以统计理论为基础,不要求实现载波同步。仿真结果表明,在信噪比RSN≥5 dB时,算法的平均识别成功率>96%。
Based on the theory of cyclostationary signal processing, four characteristic parameters are proposed based on the characteristics of cyclic spectrum of digital communication signals, which are used for signal modulation recognition. Less parameters extracted, the higher the order of the calculation of small amount of cyclic cumulation. The realization flow of three kinds of automatic recognition algorithms of signal modulation is given. The recognition algorithm is based on statistical theory and does not require carrier synchronization. The simulation results show that the average recognition success rate of the algorithm is> 96% when the signal-noise ratio RSN ≥ 5 dB.