Electro-Optic Technology Application, Volume. 30, Issue 6, 60(2015)

State Dynamic Prediction Method Based on Beidou Navigator in Monitoring and Displaying

ZHAO Xiu-ying1...2, XIONG Zhuang2, XIAO Jing-xin2 and XU Wen2 |Show fewer author(s)
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  • 1[in Chinese]
  • 2[in Chinese]
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    References(8)

    [1] [1] Welch G, Bishop G. An introduction to the kalman filer[J]. University of North Carolina at Chapel Hill: Technical Report, TR 95-041, 2004.

    [2] [2] Julier S J, Uhlmann J K. Unscented filtering and nonlinear estimation[J]. Proceedings of the IEEE, 2004, 92(3):401-422.

    [3] [3] DENG Xiao-long, XIE Jian-ying, GUO Wei-zhong. Bayesian target tracking based on particle filter[J]. Journal of Systems Engineering and Electronics, 2005, 16(3):545-549.

    [4] [4] Fox D, Hightower J, Liao L, et al. Bayesian filtering for location estimation[J]. IEEE Pervasive Computing, 2003, 2(3):24-33.

    [5] [5] Kalsson Rickard. Particle filtering for positioning and tracking applications [D]. Department of Electrical Engineering, Linkpings Universitet, 2005.

    [6] [6] Rekleitis I M. A particle filter tutorial for mobile robot localization[J]. Montreal, Quebec, Canada: Centre for Intelligent Machines, McGill University, Technical Report: TM-CIM-04-02, 2004.

    [7] [7] CHANG Cheng, Ansari Rashid. Kernel particle filter for visual tracking[J]. IEEE Signal Processing Letters, 2005, 12(3): 242-245.

    [8] [8] Kwok C, Fox D, Meila M. Real-Time particle filters[J]. Proceedings of the IEEE, 2004, 92(3):469-484.

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    ZHAO Xiu-ying, XIONG Zhuang, XIAO Jing-xin, XU Wen. State Dynamic Prediction Method Based on Beidou Navigator in Monitoring and Displaying[J]. Electro-Optic Technology Application, 2015, 30(6): 60

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    Paper Information

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    Received: Oct. 19, 2015

    Accepted: --

    Published Online: Jan. 20, 2016

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    CSTR:32186.14.

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