基于小波变换的雷达测量数据分析

Analysis of Radar Data Based on Wavelet Transform

  • 摘要: 通过对信号奇异性、小波方法检测信号奇异点原理的探讨,研究了小波对数据信号奇异点的识别与处理方法,得出了用于雷达数据奇异点检测的小波函数的选取原则.通过某次卫星发射任务雷达测量数据的奇异性分析,准确地判定了雷达跟踪测量的数据丢失点和重新捕获点,达到了数据奇异性点准确定位和分析其奇异性类型的目的.

     

    Abstract: Based on the principles of signal singularity, singularity point detection with wavelet theory, a method is presented to identify and process singularity point in signal data by wavelet. A principle is proposed to select wavelet functions for radar data singularity point detection. This method has been employed in analyzing radar data captured in a satellite launch mission. With this method, the data disappearing and re-capture points are correctly determined, the data singular points are accurately located, and the types of singuarity points are effectively classified.

     

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