Denoising Atmospheric Temperature Measurements Taken by the Mars Science Laboratory on the Martian Surface

In the present article we analyze data from two temperature sensors of Mars Science Laboratory, which has been active in since August 2012. Temperature measurements received rover are noisy and must be processed validated before being delivered to scientific community. Currently, a simple Moving Average (MA) filter is used perform signal denoising. The application this basic method relies on assumption that noise stationary statistically independent underlying structure signal, an arguable kind harsh environment. paper, alternative methods process sensor measurements: Discrete Wavelet Transform (DWT) Hilbert-Huang (HHT). We consider different datasets, one belonging current Martian measurement campaigns, other Thermal Vacuum Tests. processing these datasets allows separate random interference created by systems. experiments show MA may provide useful results under given circumstances. However, proposed allow better fitting for all realistic scenarios, while providing possibility identify interesting features artifacts could later studied classified. large amount makes computational efficiency important requirement mission. Considering cost filtering performance, propose based DWT as more suitable application.