Infrared and Laser Engineering, Volume. 46, Issue 1, 117005(2017)

Application of SVD-ACKF algorithm for real-time orbit determination in optoelectronic theodolite

Li Zhaoming1、*, Yang Wenge2, Ding Dan2, and Wang Chao3
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    An adaptive cubature Kalman filter algorithm based on singular value decomposition (SVD-ACKF) was proposed for orbit determination by optoelectronic theodolite when unknown or inaccurate noise statistics lead to low precision and divergence of filter. First, Sage-Husa maximum a posteriori and its improved form were used to estimate noise statistics online, and SVD instead of Cholesky decomposition in was used order to improve the stability of numerical calculation. Then, the mathematical model of orbit determination was expound, compared with the Euler method, improved Euler method was used to disperse the orbital dynamics equations with J2 perturbation. Finally, the simulation results show that improved Eular method can achieve a higher discrete precision, and SVD-ACKF algorithm can improve the accuracy and stability.

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    Li Zhaoming, Yang Wenge, Ding Dan, Wang Chao. Application of SVD-ACKF algorithm for real-time orbit determination in optoelectronic theodolite[J]. Infrared and Laser Engineering, 2017, 46(1): 117005

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    Paper Information

    Category: 光电测量

    Received: May. 10, 2016

    Accepted: Jun. 20, 2016

    Published Online: Mar. 29, 2017

    The Author Email: Zhaoming Li (lizhaomingzbxy@163.com)

    DOI:10.3788/irla201746.0117005

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