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短时傅里叶变换在火箭遥测数据处理中的应用 被引量:2

Application of STFT to Telemetry Data Processing of Launch Vehicles
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摘要 时频分析是分析时变信号和非平稳信号的重要手段,短时傅里叶变换是时频分析最基础也是最常用的方法,能够弥补经典的傅里叶变换的不足。运载火箭低频振动问题一直困扰航天工程人员,解决该问题首先是找出低频振动出现的规律。本文首先介绍了短时傅里叶变换的原理,并将其应用在运载火箭遥测数据低频振动信号处理中,将其与经典傅里叶变换做了比较。通过应用该方法到历发火箭的遥测数据中,就可以找出火箭低频振动规律,为解决该问题提供数据支撑。 Time-frequency analysis method is important for analyzing the time-varying signal and the non-stationary signal.Short-time Fourier transform(STFT) is the most basic and common one.It can make up for the deficiency of the classic Fourier transform.The low frequency vibration problem of the rocket has puzzled the aerospace engineers for a long time.To solve it,the first thing to do is finding out the occurrence regularity of the problem.The principle of STFT is firstly introduced and then the method is applied to the telemetry data processing of the launch vehicles and compared with the classic Fourier transform method.If STFT is applied to all the telemetry data of the launch vehicles,the vibration law will be discovered and the problem can be solved.
出处 《数据采集与处理》 CSCD 北大核心 2012年第S1期163-166,共4页 Journal of Data Acquisition and Processing
关键词 短时傅里叶变换 遥测数据 时频分析 short-time Fourier transform(STFT) telemetry data time-frequency analysis
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