Kalman filter implementation for small satellites using constraint GPS data

International Conference on Aerospace, Mechanical and Mechatronic Engineering

航空航天工程;机械制造;无线电电子学

Wesam, Elmahy M.^1 ; Zhang, Xiang^1 ; Lu, Zhengliang^1 ; Liao, Wenhe^1

Nanjing University of Science and Technology, China^1

关键词: Autonomous sensors;    Constrained conditions;    Continuous measurements;    Orbit determination;    Position accuracy;    Power restrictions;    Satellite dynamics;    Satellite tool kit;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/211/1/012015/pdf
DOI  :  10.1088/1757-899X/211/1/012015

学科分类：航空航天科学

来源: IOP

【 摘 要 】

Due to the increased need for autonomy, an Extended Kalman Filter (EKF) has been designed to autonomously estimate the orbit using GPS data. A propagation step models the satellite dynamics as a two body with J2(second zonal effect) perturbations being suitable for orbits in altitudes higher than 600 km. An onboard GPS receiver provides continuous measurement inputs. The continuity of measurements decreases the errors of the orbit determination algorithm. Power restrictions are imposed on small satellites in general and nanosatellites in particular. In cubesats, the GPS is forced to be shut down most of the mission's life time. GPS is turned on when experiments like atmospheric ones are carried out and meter level accuracy for positioning is required. This accuracy can't be obtained by other autonomous sensors like magnetometer and sun sensor as they provide kilometer level accuracy. Through simulation using Matlab and satellite tool kit (STK) the position accuracy is analyzed after imposing constrained conditions suitable for small satellites and a very tight one suitable for nanosatellite missions.