A New Autonomous Celestial Navigation Method Based on UKF and MPF
The artificial satellite autonomous celestial navigation often uses starlight angular distance observed method. The perturbation terms beside the 2nd zonal harmonic of the non-spherical earth gravity (J2) are regarded as white noise. Aimed at the problem and in order to improve the models precision, a new Autonomous Celestial Navigation Method Based on unscented Kalman filter(UKF) and Model Predictive Filter (MPF) is proposed. It takes advantages of both MPF and UKF. The advantages of the new algorithm include: the model error is assumed unknown and is estimated as part of the solution, the model error is not limited to Gaussian noise characteristics, and the algorithm can be implemented on-line to both filter noisy measurements and estimate state trajectories.
XU Fan
Beijing Aerospace Automatic Control Institute, Beijing -100854, China
国际会议
International Conference on Space Information Technology 2009(2009年第三届空间信息技术国际会议)
北京
英文
1-6
2009-11-26（万方平台首次上网日期，不代表论文的发表时间）