外测数据处理中小波滤波的应用研究

Study on Application of Wavelet Filters in Out-trajectory Data Processing

针对外测数据的高精度和噪声复杂的特性,首先介绍了小波分析中几种滤波方法及其变形,然后结合空域滤波器建立外测数据的小波去噪模型,将它们应用于一维的高精度弹道数据去噪.实际结果表明,该类方法在保留特征段及有用信息的同时,有效地去除了随机噪声及其他干扰,比较传统去噪方法有明显优势.

Space tracking data features high requirements on accuracy and complex noise. This paper introduces several typical filters in wavelet＇s domain and their derivatives. Then, in combination with spatial domain filtering method, a wavelet-based denoising model is established for tracking data, and the model is used to reduce the noise of one-dimension high-accuracy trajectory data. Experiment results show that the method has advantages over traditional noise reduction methods in that it keeps detailed information of key points while reducing random noise and other interference.