Paper Title:
Unscented Particle Filter Algorithm for Ballistic Target Tracking
  Abstract

At present, the ballistic Target tracking has a higher demand in convergence rate and tracking precision of filter algorithm. In the paper, a filter algorithm was improved based on particle filter. The algorithm was carried out from the aspects such as particle degradation and particle diversity lack. A novel ballistic coefficient parameter model was built, and was expanded to the state vector for filtering. Finally, the improved algorithm was simulated by MATLAB software. The simulation results show that the algorithm can obtain better convergence speed and tracking precision.

  Info
Periodical
Edited by
Han Zhao
Pages
369-372
DOI
10.4028/www.scientific.net/AMM.130-134.369
Citation
J. W. Zhao, M. J. Zhang, Y. G. Yan, Y. P. Yan, "Unscented Particle Filter Algorithm for Ballistic Target Tracking", Applied Mechanics and Materials, Vols. 130-134, pp. 369-372, 2012
Online since
October 2011
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