journal6 ›› 2014, Vol. 35 ›› Issue (6): 70-72.DOI: 10.3969/j.issn.1007-2985.2014.06.017

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Unscented Transformation Filtering Algorithm Based on Temporal and Spatial Information

 KONG  Yue-Feng, QIAO  Liang   

  1. (1.Baoyuan Electronic Technology Limited Company,Huizhou 516011,Guangdong China;2.Department of Computer,Guangdong College of Finance,Guangzhou 510520,China)
  • Online:2014-11-25 Published:2014-11-27

Abstract: Application of unscented Kalman filter(UKF) to the passive location tracking system is presented.The simulation results showed that the precision and stability of UKF were greatly improved compared with those of EKF.It can be concluded that UKF solves the problem of non-linearity of observation model better.

Key words: unscented transformation, temporal and spatial information, non-linearity

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