Parameters estimation algorithm by Kalman filtering based on GPS measurement for projectile trajectory

Qiang Shen*, Mian Ge, Bo Peng, Xin He

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

In order to improve the real-time performance and reliability of trajectory identification based on GPS position, a trajectory parameters estimation algorithm by Kalman filtering is put forward, using GPS position data as observations and performing the optimal prediction by fourth Runge-Kutta numerical integration for solving projectile trajectory nonlinear differential equation. Improvement method is taken into account in case of failure or gross error of GPS receiver. Semi-physical simulation is used by Spirent GPS satellite signal simulator and C/A code receiver. The results show that the error of trajectory parameters estimation is approximately 30 percent to 40 percent of GPS raw measurement when the receiver works properly. Further, trajectory parameters estimation could be close to true value even if GPS receiver is abnormal.

Original languageEnglish
Pages (from-to)1048-1051
Number of pages4
JournalBeijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume29
Issue number12
Publication statusPublished - Dec 2009

Keywords

  • Global position system (GPS)
  • Kalman filtering
  • Semi-physical simulation
  • Trajectory parameters estimation

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Shen, Q., Ge, M., Peng, B., & He, X. (2009). Parameters estimation algorithm by Kalman filtering based on GPS measurement for projectile trajectory. Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology, 29(12), 1048-1051.