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Journal of Projectiles, Rockets, Missiles and Guidance >

2015 , Vol. 35 >Issue 4: 145 - 148

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2015.04.036

CORRELATION TECHNOLOGY

The Application of Nonlinear Filtering Algorithm in New Integrated Positioning System

  • TIAN Anhong ,
  • FU Chengbiao ,
  • XU Jian ,
  • LIU Kun ,
  • XU Kunliang
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  • School of Computer Science and Engineering, Qujing Normal College, Yunnan Qujing 655000, China

Received date: 2014-10-12

  Online published: 2025-05-26

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Abstract

In view of the problem that positioning equation is nonlinear in new GPS and DTMB integrated positioning system, the dynamic tracking performance of two kinds of nonlinear filtering algorithm in line-of-sight and non line-of-sight propagation environment. The simulation shows that extended Kalman filtering (EKF) algorithm and particle filter (PF) algorithm can successfully implement in combined system, tracking effect of line-of-sight is better than non line-of-sight, the mean and standard deviation meet requirement for positioning precision in urban environment. Thus, the feasibility of dynamic positioning by GPS and DTMB signal has been verified in urban environment.

Key words： nonlinear filtering; motion model; dynamic tracking

Cite this article

TIAN Anhong , FU Chengbiao , XU Jian , LIU Kun , XU Kunliang . The Application of Nonlinear Filtering Algorithm in New Integrated Positioning System[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2015 , 35(4) : 145 -148 . DOI: 10.15892/j.cnki.djzdxb.2015.04.036

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