【作者】 高永强；

【导师】 陈建安；

【作者基本信息】 西安电子科技大学 ， 电路与系统， 2006， 硕士

【摘要】 近几十年来人们针对不同的调制信号提出了许多调制识别的新方法和新思想，本文在分析现有研究的基础上，借鉴了已有的特征提取方法，提出了基于信号高阶统计量的识别方法。本方法分别从信号包络的高阶矩和复基带信号的高阶累量着手，建立识别参数，依据识别参数区分调制类型。与以往的基于高阶累量识别方法相比，本文用到了较高阶数的四、六阶累量建立识别参数，因为二阶累量受噪声影响而高阶累量不受噪声影响，所以，本文建立的识别参数可从理论上去除噪声的影响。文中大量的仿真结果验证了本方法的可行性。本文也对基于信号包络高阶矩的识别方法进行了详细的理论推导和大量仿真，与以往的方法相比，它识别信号种类更多。更多还原

【Abstract】 For the last decades, researchers have introduced many innovational methods to solve the problem of the modulation recognition for different kinds of modulation signals. Having analyzed the existing study and inspired by top researchers’ methods that have been used in feature extraction, this paper proposes a digital modulation recognition method based on higher order statistics. This method deduces character parameters and distinguishes modulation formats on the ground of higher order moments of signal envelop and higher order cumulants of complex baseband signal respectively.Compared with the former modulation recognition methods based on higher order statistics, a new method based on the fourth and sixth order cumulants of received signal for classifying digital modulation signals is proposed. Since Gaussian white noise has no influence on higher order cumulants of received signal but does on the second cumulants, we do not use second cumulants here. Therefore, the influence of gaussian white noise on the recognition parameters presented in this paper is wiped off in the theory aspect. Feasibility of the proposed method is verified by large amount of experiment results presented in this paper.Also, a modulation recognition method based on the higher order moments of digital signal envelop is deducted in detail. Simulation results of this method show that it can distinguish many more kinds of modulation signals in comparison of the former methods.更多还原