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.
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.
出处
《信息与控制》
CSCD
北大核心
2004年第3期369-372,379,共5页
Information and Control
基金
重庆市科技基金资助项目(6970)
关键词
雷达数据
信号
小波变换
奇异性
radar data
signal
wavelet transform
singularity
