Positioning accuracy improvement in high‐speed GPS receivers using sequential extended Kalman filter

It is well known that in high-speed movements, the positioning accuracy of global system (GPS) receivers decreases drastically. The models presented so far to describe motion do not represent state precisely, with methods based on these appropriate. Here, a comprehensive method proposed solve issue single-frequency GPS receiver at motions without increasing computational complexity. Suitable modelling motion, using sequential extended Kalman filter, correct determination process noise covariance matrix and accurately estimating variance observations are basics approach. Simulations different data scenarios (at speeds from 100 7300 m/s) show method, while cost, improves more than 70% when compared conventional methods.