Time frequency analysis and Hilbert-Huang Transform (HHT) of single event upset (SEU) in FORMOSAT-2 and FORMOSAT-3 missions

Taiwan's second satellite, the FORMOSAT-2 (FS-2), is a high-resolution remote sensing satellite. FS-2 has operated successfully for over 7 years since May 21, 2004. The FORMOSAT-3 (FS-3)/COSMIC (Formosa Satellite No. 3 / Constellation Observing System for Meteorology, Ionosphere, and Climate) mission consisting of six Low-Earth-Orbit (LEO) satellites is the first constellation demonstrating near real-time Numerical Weather Prediction (NWP) using radio signals from the Global Positioning System (GPS) satellites. The FS-3 satellites have performed successfully for over 5 years since their launch on April 15, 2006. Over 300 satellite reboot and reset events have been recorded during the FS-3 mission, and similar Automatic Reconfiguration Order (ARO) events have been recorded on FS-2. Over 2,000 Star Tracker Lost Bytes (LB) events have occurred on FS-2 caused by single event upset (SEU). In this study, we have found that FS-2 ARO and star tracker data lost bytes (LB) are positively correlated with space weather, which influences the satellite mission due to several major space weather parameters: the Kp-index of Earth's magnetic field, proton density, electron density and 10.7 cm radio flux (RF). Also, FS-3 computer resets are correlated with Proton Density, Kp-index, Radio Flux F10.7 and X-Ray. Both the Hilbert-Huang Transformation (HHT) and time-frequency analysis methods are used to analyze non-linear, unstable space satellite trending system data. This paper will show the preliminary results of our recent studies.