Volume 39 Issue 10
Oct.  2013
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Zhou Zheng, Liu Jinmang, Tan Xijianget al. MCS model based on Jerk input estimation and nonlinear tracking algorithm[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, 39(10): 1397-1402. (in Chinese)
Citation: Zhou Zheng, Liu Jinmang, Tan Xijianget al. MCS model based on Jerk input estimation and nonlinear tracking algorithm[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, 39(10): 1397-1402. (in Chinese)

MCS model based on Jerk input estimation and nonlinear tracking algorithm

  • Received Date: 25 Dec 2012
  • Publish Date: 30 Oct 2013
  • A new tracking algorithm was proposed for high maneuvering target based on current statistical (CS) model, modified input estimation (MIE) and unscented strong tracking filter (USTF). The state equation and adaption method of acceleration variance of the CS model were modified with Jerk input estimation. The state covariance, state noise covariance and maneuvering frequency were made jointly adaptive with the support of improved unscented strong tracking filter. The new algorithm can track continuous high maneuver, low maneuver and constant velocity motion accurately in real time when lacking prior information on acceleration. The simulation shows that the new algorithm has better adaptability, higher accuracy and faster convergence than CS-UKF, CS-USTF and interacting multiple-model (IMM) algorithms.

     

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