An Improved GPS Dynamic Positioning Filtering Algorithm

Abstract:

According to the characteristics of the GPS receiver, this paper introduces an improved GPS positioning system filtering algorithm. Firstly, this paper establishes the state equation of the system according to the motor carrier's "current" statistical model, and then we establishes the measurement equation of the system based on the characteristics that GPS receiver can output the location and speed information, and lastly we get a standard Kalman filter algorithm model and a detailed description of the derivation of the algorithm. Algorithm simulation results show that the improved algorithm can greatly improve accuracy.

• Periodical: Applied Mechanics and Materials (Volume 339)
• Pages: 225-228
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.339.225
• Online since: July 2013
• Authors: Jie Wang, Xue Yuan Lin, Li Long Guo
• Keywords: Dynamic Filtering Method, GPS Dynamic Positioning, Kalman Filter (KF), Positioning Algorithm

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