الفهرس | Only 14 pages are availabe for public view |
Abstract Smartphones have recently increased in importance in people’s daily lives. The navigation applications services supported by smartphones have significantly enhanced the land vehicle navigation. However, smartphone navigation has a problem of decreased positioning accuracy in the urban environments over the last years. The main scope of this research study is to enhance the smartphone’s positioning accuracy used in land vehicle navigation applications in the GNSS deteriorated signal environments. This objective can be achieved by constructing un-differenced and Between Satellite Single Difference Precise Point Positioning (BSSD PPP). The single frequency raw GNSS data are collected from kinematic and static experiments using the smartphone. The BSSD PPP positioning data are integrated with the smartphone inertial sensors output by the Kalman filter technique. A restricted mapping of the road network for the proposed area are constructed by using a new map matching mathematical model. This model utilizes the Hidden Marcov Model and Viterbi algorithm. A constrained land vehicle navigation solution is obtained by adapting the integrated system’s positioning with the outcome of the map matching model. The integrated model’s outcome is evaluated in relation to the reference RTK relative positioning. The results indicate that the land vehicle navigation solution of map matching positioning is significantly better than BSSD and BSSD-INS solutions and it enhances the navigation solution accuracy |