数据融合应用于通信信号调制样式识别  

Application of Data Fusion in Classifier of Modulation Types

作　　者：刘健[1] 夏飞海[1] 

机构地区：[1]中国电子科技集团公司第三十六研究所

出　　处：《通信对抗》2007年第3期24-28,共5页Communication Countermeasures

摘　　要：对通信信号的频域、时域特征进行了提取，介绍了利用决策树识别其调制样式的方法。针对决策树缺点，提出了基于模糊理论和D—S证据理论对不同参数的可信度进行融合的方法，并给出了利用数据融合算法进行调制样式识别的仿真结果。The characters in frequency filed and time filed of the communication signals are distilled, also the method to recognize the modulation types based on decision-tree algorithm is introduced. This passage provides an improved algorithm based on Fuzzy Theory and D-S Evidence Theory to fuse the reliability of difference parameters according to the disadvantages of the decision-tree algorithm. The simulation of the data fusion algorithm is also presented.

关 键 词：调制样式识别 数据融合 模糊理论 D—S证据理论 

分 类 号：TN911.3[电子电信—通信与信息系统]