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Integration Algorithm of GPS/SDINS/ST for a Space Navigation
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 Title & Authors
Integration Algorithm of GPS/SDINS/ST for a Space Navigation
Yi, Chang-Yong; Cho, Kyeum-Rae; Lee, Dae-Woo; Cho, Yun-Cheol;
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A GPS/SDINS/ST(Star Tracker) integrated sensor algorithm is more robust than the GPS/SDINS and the ST/SDINS systems on exploration of other planets. Most of the advanced studies shown that GPS/SDINS/ST integrated sensor with centralized Kalman filter was more accurate than those 2 integrated systems. The system, however, consist of a single filter, it is vulnerable to defects on failed data. To improve the problem, we work out a study using federated Kalman filter(No-Reset mode) and centralized Kalman filter with adaptive measurement fusion which known as robustness on fault. The simulation results show that the debasing influences are reduced and the computation is enable at least 100Hz. Further researches that the initial calibration in accordance with observability and applying the exploration trajectory are needed.
GPS/SDINS/ST;Space Navigation;Centralized Filter;Federated Filter;Adaptive Filter;
 Cited by
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