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

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

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

4 引用 (Scopus)

摘要

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.

源语言英语
页(从-至)1048-1051
页数4
期刊Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
29
12
出版状态已出版 - 12月 2009

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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.