Electronics Optics & Control, Volume. 21, Issue 1, 42(2014)

Joint Estimation of Parameters and States for Missile with Incomplete Information

YU Li-xin1, LI Fei1, ZHAO Yun1, ZHANG Tao1, and LI Bin2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    The nonlinear system recursive maximum likelihood (RML) estimation method was derived based on Unscented Kalman Filter (UKF) and real-time joint estimation of parameters and states for missiles with incomplete information was realized.First the guidance law was introduced into the missile state estimation model and a state filtering model was established.Then the classical RML method for parameter identification was presented based on which the nonlinear RML was developed through UKF.Finally the parallel calculation of parameter identification and state estimation was completed.The numerical simulation result shows that this method has fast convergence speed good real-time performance and high estimation accuracy.

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    YU Li-xin, LI Fei, ZHAO Yun, ZHANG Tao, LI Bin. Joint Estimation of Parameters and States for Missile with Incomplete Information[J]. Electronics Optics & Control, 2014, 21(1): 42

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    Paper Information

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    Received: Mar. 5, 2013

    Accepted: --

    Published Online: Jan. 17, 2014

    The Author Email:

    DOI:10.3969/j.issn.1671-637x.2014.01.010

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