GPS has been used successfully for a wide range of high‐precision surveying applications. Most precise positioning results have been achieved through postprocessing of data. This denies the use of GPS for those surveying and navigation applications which require on‐line position computation. A Kalman filtering scheme is presented which is designed to perform high‐integrity, real‐time GPS relative positioning in static and kinematic modes to centimeter‐level accuracy. A continuous‐kinematic data set for a train has been processed as an example to explain the operation of the system and illustrate achievable accuracy. Results of the test proved that the repeatability of vertical positions for a train traveling at 120 km/h was better than 5 cm.

No abstract

No abstract

No abstract

No abstract