Generalized Multiple-Model Adaptive Estimation for Mars Entry Navigation

Abstract:

In order to satisfy the needs of Mars precision landing, a Mars entry navigation method is proposed for the problem of Mars atmospheric density model uncertainty. The navigation system processes accelerometer outputs as measurements, employs an extended Kalman filter bank regulated by the generalized multiple-model adaptive estimation method. Simulation results demonstrate the navigation system can identify the real atmospheric density model automatically, and show adaptivity and robustness to the uncertainty of atmospheric density. The navigation performance is greatly improved compared with traditional dead-reckoning

• Periodical: Advanced Materials Research (Volumes 383-390)
• Pages: 1190-1194
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.383-390.1190
• Online since: November 2011
• Authors: Kai Wu
• Keywords: Generalized Multiple-Model Adaptive Estimation, Mars Entry, Navigation, Uncertainty

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