Application of Kalman filter in Three Beidou Geostationary Satellites passive dynamic positioning

Wu Xiao-Dong*, Wu Si-Liang, Wang Ju, Li Jia-Qi

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Aimed at the movement model of Three Beidou Geostationary Satellites passive dynamic positioning receiver and the noise characteristics of the receiving signal, the turn model is applied to represent exactly the movement pattern of the receiver, and a Kalman filter algorithm based on turn model is presented in this paper. By filtering the Three Beidou Geostationary Satellites passive dynamic positioning results, the emulation experiment shows that the algorithm can eliminate most random errors in the dynamic positioning. Compared with the traditional Kalman filter algorithms, the algorithm presented in this paper is charactered with easy realization, well application and high positioning precision, and a good result is obtained in the practical application.

Original languageEnglish
Title of host publication2008 9th International Conference on Signal Processing, ICSP 2008
Pages332-336
Number of pages5
DOIs
Publication statusPublished - 2008
Event2008 9th International Conference on Signal Processing, ICSP 2008 - Beijing, China
Duration: 26 Oct 200829 Oct 2008

Publication series

NameInternational Conference on Signal Processing Proceedings, ICSP

Conference

Conference2008 9th International Conference on Signal Processing, ICSP 2008
Country/TerritoryChina
CityBeijing
Period26/10/0829/10/08

Keywords

  • Kalman filter
  • Three Beidou Geostationary Satellites passive dynamic positioning
  • Turn model

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