Differential GPS (DGPS) is the system used for improving accuracy in GPS position and velocity estimation. Measurements can be obtained in real time with a high level of accuracy by means of use DGPS for task the vehicle tracking, dispatching, location, navigation, etc. In this paper we present a modified Kalman filter for DGPS to achieve an accurate estimation of the position and velocity. The proposed and realized algorithms in DGPS system can be implemented by low cost commercial C/A code GPS modules. With the help of Kalman filter the reducing of the anti-common errors between the users and reference station has been achieved. Two variants of the Kalman filters have been investigated. It is presented the experimental testing of the performance of DGPS with Kalman filtering. The used filtering procedure has shown the possibility to reduce the anti-common errors. The proposed and investigated procedures of Kalman filtering could be used for better positioning in the different navigation and positioning applications.
Increasing DGPS accuracy by use of Kalman filtering
Imaging Technology and Telescopes ; 2000 ; San Diego,CA,United States
Proc. SPIE ; 4091
2000-10-31
Conference paper
Electronic Resource
English
Neural Network Aided Adaptive Extended Kalman Filtering Approach for DGPS Positioning
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|British Library Conference Proceedings | 2005
|Online Contents | 2005
|A GENERAL CONCEPT AND ALGORITHM OF PROJECTED DGPS FOR HIGH-ACCURACY DGPS-BASED SYSTEMS
British Library Online Contents | 2004
|A GENERAL CONCEPT AND ALGORITHM OF PROJECTED DGPS FOR HIGH-ACCURACY DGPS-BASED SYSTEMS
Online Contents | 2004
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