Electronics Optics & Control, Volume. 23, Issue 6, 54(2016)

Millimeter-Wave Radar/GPS/INS Integrated Navigation System and Its Application in UAV Autonomous Landing

ZHAO Wei1,2, WANG Nan3, and GAO Xian-zhong4
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
  • 4[in Chinese]
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    References(7)

    [7] [7] KORN B, DOEHLER H U, HECKER P. MMW-radar-based navigation: solutions to the vertical position problem[C]//Proc. SPIE, 2000. doi: 10. 1117/12. 389358.

    [8] [8] GAMERMAN D. Markov chain Monte Carlo for dynamic generalized models[J]. Biometrika, 1998, 85(1): 215-227.

    [9] [9] JULIER S J, UHLMANN J K. A new extension of the Kalman filter to nonlinear systems[C]//The 11th Int. Symp. on Aerospace/Defence Sensoring Simulation and Controls, 1997: 182-193.

    [10] [10] PITT M, SHEPHARD N. Auxiliary particle filters[J]. American Statistical Association, 1999, 94: 590-599.

    [11] [11] DOUCET A, TADIC V T. Parameter estimation in gene-ral state-space modes using particle methods[J]. Annals of the Institute of Statistical Mathematics, 2003, 55: 409-422.

    [12] [12] CHEN T, MORRIS J, MARTIN E. Particle filters for state and parameter estimation in batch processes[J]. Journal of Process Control, 2005, 15: 665-673.

    [13] [13] LIU J, WEST M. Sequential Monte Carlo in practice: combined parameter and state estimation in simulation-based filtering[M]. New York: Springer-Verlag, 2001.

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    ZHAO Wei, WANG Nan, GAO Xian-zhong. Millimeter-Wave Radar/GPS/INS Integrated Navigation System and Its Application in UAV Autonomous Landing[J]. Electronics Optics & Control, 2016, 23(6): 54

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    Paper Information

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    Received: Apr. 20, 2015

    Accepted: --

    Published Online: Jan. 28, 2021

    The Author Email:

    DOI:10.3969/j.issn.1671-637x.2016.06.012

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