Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10694328 | Advances in Space Research | 2015 | 17 Pages |
Abstract
Accurate navigation systems are required for future pinpoint Mars landing missions. A radio ranging augmented inertial measurement unit (IMU) navigation system concept is considered for the guided atmospheric entry phase. The systematic errors associated to the radio ranging and inertial measurements, and the atmospheric mission uncertainties are considered to be unknown. This paper presents the extension of an unbiased minimum-variance (EUMV) filter of a radio beacon/IMU navigation system. In the presence of unknown dynamics inputs, the filter joins the system state and the unknown systematic error estimation of a stochastic nonlinear time-varying discrete system. 3-DOF simulation results show that the performances of the proposed navigation filter algorithm, 100Â m estimated altitude error and 8Â m/s estimated velocity error, fulfills the need of future pinpoint Mars landing missions.
Related Topics
Physical Sciences and Engineering
Earth and Planetary Sciences
Space and Planetary Science
Authors
Huimin Fu, Yusong Yang, Qiang Xiao, Yunzhang Wu, Yongbo Zhang,