In this paper, de-noising of satellite attitude and rate data using discrete wavelet transform is presented. The mission objective of any remote sensing satellite is to produce an image. The image is taken on board the spacecraft, and then downloaded using a Radio Frequency link. The processing of the image is done at ground. The attitude quaternion and body rates are part of the down linked data. These data had to be pre-processed to remove the noise. Conventional methods employ taking the Fourier transform and removing the high frequency component through filtering. The de-noising of attitude and rate data is important to make the final data product such as image smoother.
Comments: 5 Pages.
[v1] 2019-07-26 00:30:43
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