Volume 32 Issue 11
Nov.  2006
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Fang Jiancheng, Ning Xiaolin. Autonomous celestial navigation for lunar explorer based on genetic algorithm particle filter[J]. Journal of Beijing University of Aeronautics and Astronautics, 2006, 32(11): 1273-1276. (in Chinese)
Citation: Fang Jiancheng, Ning Xiaolin. Autonomous celestial navigation for lunar explorer based on genetic algorithm particle filter[J]. Journal of Beijing University of Aeronautics and Astronautics, 2006, 32(11): 1273-1276. (in Chinese)

Autonomous celestial navigation for lunar explorer based on genetic algorithm particle filter

  • Received Date: 30 Apr 2006
  • Publish Date: 30 Nov 2006
  • Autonomous celestial navigation system is a typical nonlinear, non-Gaussian dynamic system. Extended Kalman filter (EKF) is widely used in spacecraft navigation. It only uses the first order terms in the Taylor series expansion. To nonlinear and non-Gaussian system, EKF may introduce large estimation error. Particle filter(PF) is a computer-based method for implementing a recursive Bayesian filter by Monte Carlo simulations. PF is an effective solution at dealing with nonlinear and/or non-Gaussian problems. The performance of PF relies on the choice of importance sampling density and resampling scheme. To overcome the particle degeneration and sample impoverishment problems existing in traditional particle filter method, a new autonomous celestial navigation method for lunar explorer based on genetic algorithm particle filter method is presented. Simulation results demonstrat the validity and feasibility of this new method.

     

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  • [1] Kinman Peter W. Doppler tracking of planetary spacecraft[J]. IEEE Transactions on Microwave Theory and Techniques (ISSN 0018-9480), 1992, 40(6):1199-1204 [2] Asai Y, Nishimura T. Orbit determination by means of Kalman filter using spl Delta VLBI data Proceedings of the 1999 IEEE International Conference on Control Applications. Kohala Coast-Island of Hawai′i, USA:Institute of Electrical and Electronic Engineers Inc,1999:968-972 [3] Arulampalam S, Maskell S, Gordan N, et al. A tutorial on particle filters for online nonlinear/nongaussian bayesian tracking[J]. IEEE Transaction on Signal Processing,2002, 50(2):174-188 [4] 宁晓琳, 房建成. 一种基于信息融合的卫星自主天文导航新方法[J].宇航学报,2003,24(6):579-583 Ning Xiaolin, Fang Jiancheng. A new method of autonomous celestial navigation for spacecraft based on information fusion[J]. Journal of Astronautics, 2003,24(6):579-583(in Chinese) [5] Fang Jiancheng, Ning Xiaolin. New autonomous celestial navigation method for lunar satellite[J]. Harbin Institute of Technology, 2003, 10(3):308-310 [6] 周文艳, 杨维廉. 月球探测器转移轨道的中途修正[J].宇航学报,2004,25(1):89-92 Zhou Wenyan, Yang Weilian. Mid-correction of trans-lunar trajectory of lunar explorer[J].Journal of Astronautics,2004,25(1):89-92(in Chinese) [7] Bashi A S, Jilkov V P, Li X R, et al. Distributed implementations of particle filters Proceedings of the Sixth International Conference Information Fusion. Cairns, Australia:Australia by Kwik Kopy North Melbourne,2003:1164-1171 [8] 张志星, 孙春在, 水谷英二. 神经-模糊和软计算[M]. 西安:西安交通大学出版社,2000:122-126 Zhang Zhixing, Sun Chunzai, Shuigu Yinger. Neuro-fuzzy and soft computing .Xi′an:Xi′an Jiaotong University Press,2000:122-126(in Chinese)
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