Research on High-Precision Guidance Based on Rapid Estimate of Target Motion

Chapter
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 129)

Abstract

Based on predictive control theory, a fast extraction algorithm is presented, which can efficiently estimate the motion of the high-speed maneuverable target. The calculation of the algorithm is simple, because the operations are all scalar ones. Calculation of the error covariance matrix and the optimal gain matrix is omitted. Thus the algorithm has no requirement of the symmetry and positive definite property of the error covariance matrix and optimal gain matrix. Simulation results show that the predictive filter is significantly better than Extended Kalman filter when the noise is aloud and colored. The effect of intercepting the maneuverable target will be improved if the motion estimated by predictive filter is introduced into the variable structure guidance law. Simulation results show that the guidance law which introduces the compensation information has strong robustness to the noise of the seeker and the maneuverability of the target.

Keywords

Extend Kalman Filter Target Motion Error Covariance Matrix Maneuverable Target Extend Kalman Filter Algorithm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Institute of Precision Guidance and ControlNorthwestern Polytechnical UniversityXi’anChina
  2. 2.Shanghai Electro-Mechanical Engineering InstituteChina Aerospace Science and Technology CorporationShanghaiChina

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