小波变换在弹箭遥测数据处理中的应用

由于遥测参数的时变性和各种干扰的影响，传统的Ｆｏｕｒｉｅｒ分析往往不能给出令人满意的处理结果。小波变换是一种同时在时间（或空间）域和频率域内进行局部化分析的新方法；利用小波变换及其自适应性，可以在不同的分辨率下分析和处理数据，尤其是处理非平稳信号。本文介绍小波分析的基本原理，说明利用小波变换将遥测信号在时频平面上表示的方法。在此基础上，将小波变换应用于实测遥测数据的分析和处理，从被噪声淹没的数据中成功地恢复出冲击信号，提高了箭遥数据的信噪比。

Applications of Wavelet Transforms in Telemetry Data Processing

As almost all telemetry parameters are time varied and affected by many kinds of interference,traditional Fourier andalysis can't give satisfactory result.The wavelet trandform is a new method that can be used to achievce part signal analysis simultaneously in time (or spatial) domain and frequency domain.Signal can be analyzed and processed at different scale by using wavelet transforms and its adaptability. This paper,starting with basic conception of wavelet,explains the method of representing telemetry data in phase plane.Then the wavelet transform is applied to the practical telemetry data processing and analyzing,succeeding in regaining shock from signal polluted by noise and raising SNR