Application of Wavelet Analysis in The Prediction of Telemetry Data

With the rapid development of space technology, the increasing number of spacecraft, in-orbit risk also increases, how to ensure that the spacecraft safety and reliability is particularly important. Prediction technology can predict the failure of the spacecraft in advance, and it has won valuable time for the fault of the spacecraft troubleshooting, thereby increasing the safety and reliability of spacecraft operation. In this paper, based on the non-stationary and periodicity of telemetry data. Based on the wavelet analysis, the prediction of the data is introduced, the establishment of a short-term forecasting model based on Mallat algorithm. The experimental results show that the prediction curve is basically consistent with the actual curve. Keywords-Wavelet Analysis; Fourier Transform; Periodic Autoregression; Models; Mallat.