郭延波, 李雪, 程延锋. 基于形状识别的返回散射电离图分类方法研究[J]. 电波科学学报, 2016, 31(3): 443-449. doi: 10.13443/j.cjors.2015062801
      引用本文: 郭延波, 李雪, 程延锋. 基于形状识别的返回散射电离图分类方法研究[J]. 电波科学学报, 2016, 31(3): 443-449. doi: 10.13443/j.cjors.2015062801
      GUO Yanbo, LI Xue, CHENG Yanfeng. Backscatter ionogram classification based shape recognition[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2016, 31(3): 443-449. doi: 10.13443/j.cjors.2015062801
      Citation: GUO Yanbo, LI Xue, CHENG Yanfeng. Backscatter ionogram classification based shape recognition[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2016, 31(3): 443-449. doi: 10.13443/j.cjors.2015062801

      基于形状识别的返回散射电离图分类方法研究

      Backscatter ionogram classification based shape recognition

      • 摘要: 基于中值滤波算法, 结合电离图中杂波信号和背景噪声的分布特点, 提出了一种返回散射电离图干净数据提取新算法; 利用返回散射电离图干净数据, 基于形状识别理论, 给出了一种返回散射电离图分类算法, 并对形状因子的提取方法进行了简单介绍.实测电离图仿真实验结果显示, 所提电离图分类算法具有较好的实测电离图识别和分类能力, 具有较好的应用前景.

         

        Abstract: Based on the median filtering algorithm, a method for extracting backscatter ionogram cleaning data is presented by reference to the characteristics of clutter and background noise in the ionogram. An algorithm of backscatter ionogram classification based the shape recognition theory by using the backscatter ionogram cleaning data is put forward, and the method to extract the shape factor are introduced. The simulation result show that the presented algorithm has the capacity of ionogram classification and a good prospect in applications.

         

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