Xianghao Hou1, *, Gang Qiao1
CMES-Computer Modeling in Engineering & Sciences, Vol.122, No.1, pp. 175-205, 2020, DOI:10.32604/cmes.2020.08452
- 01 January 2020
Abstract To study the parameter estimating effects of a free-floating tumbling space
target, the extended Kalman filter (EKF) scheme is utilized with different high-nonlinear
translational and rotational coupled kinematic & dynamic models on the LIDAR
measurements. Applying the aforementioned models and measurements results in the
situation where one single state can be estimated differently with varying accuracies since
the EKFs based on different models have different observabilities. In the proposed EKFs,
the traditional quaternions based kinematics and dynamics and the dual vector quaternions
(DVQ) based kinematics and dynamics are used for the modeling of the relative… More >
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