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数据融合应用于通信信号调制样式识别
引用本文:刘健 夏飞海. 数据融合应用于通信信号调制样式识别[J]. 通信对抗, 2007, 0(3): 24-28
作者姓名:刘健 夏飞海
作者单位:中国电子科技集团公司第三十六研究所 浙江嘉兴314033
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。

关 键 词:调制样式识别  数据融合  模糊理论  D-S证据理论
收稿时间:2007-04-18

Application of Data Fusion in Classifier of Modulation Types
LIU Jian,XIA Fei-hai. Application of Data Fusion in Classifier of Modulation Types[J]. Communication Countermeasures, 2007, 0(3): 24-28
Authors:LIU Jian  XIA Fei-hai
Affiliation:No.36 Research Institute of CETC, Jiaxing, Zhejiang 314033, China
Abstract: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.
Keywords:modulation type recognition  data fusion  fuzzy theory  D-S evidence theory
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