摘要
从特征参数提取角度出发,提出了一种基于高阶累积量和瞬时特征的信号调制识别算法。该算法从调制信号高阶累积量中提取出稳健的特征参数,并结合改进的瞬时特征参数,采用决策树的方法对信号进行调制识别。与传统决策论识别算法相比,本算法特征参数较少,识别类型多最后仿真结果表明,该算法在较低信噪比下具有很好的识别率(>95%)。
An automatic recognition algorithm of digital modulation signals is presented based on high order cumulants and instantaneous charaeteristies from the extraction of parameters. Higher order cumulants of characteristics parameters are extracted, combined with improved instantaneous characteristics of parameters. It can be used to carry out modulation identification by decision-tree. Compared with traditional recognition algorithm of decision theory, less characteristic parameters are needed, with more types identified. Computer simulations show that the algorithm with high recognition rate in a low signal-to-noise ratio （ 〉 95% ）.
出处
《世界科技研究与发展》
CSCD
2011年第6期1002-1005,共4页
World Sci-Tech R&D
关键词
调制识别
高阶累积量
特征参数
modulation identification
high order cumulant
characteristic parameter
