ROBUST KALMAN FILTERING BASED ON RPDOP VALUE IN
DEFORMATION MONITORING USING GPS
1)School of Geoscience and InfoPhysics, Central South University, Changsha 410083
2)Key Laboratory of Precise Engineering of Surveying & Deformation Disaster Monitoring of Hunan Province,
Changsha 410083
Abstract In deformation monitoring with GPS, gross errors often exist in displacement observations, for influence of cycle slip, multipath effect, diffraction and the geometry of satellites.The geometry of satellites is not an error source of positioning, it affects positioning precision basically by the unstable normal equation. RPDOP(Relative Position Dilution Of Precision) of GPS precise positioning is incorporated into robust Kalman filter so that a reasonable weigh can be obtained. The result from practical GPS slide deformation monitoring application indicate that RPDOP based robust Kalman filter is effective.
Zhang Chao,Dai Wujiao,Zeng Fanhe et al. ROBUST KALMAN FILTERING BASED ON RPDOP VALUE IN
DEFORMATION MONITORING USING GPS[J]. jgg, 2014, 34(1): 100-103.
Zhang Chao,Dai Wujiao,Zeng Fanhe et al. ROBUST KALMAN FILTERING BASED ON RPDOP VALUE IN
DEFORMATION MONITORING USING GPS[J]. jgg, 2014, 34(1): 100-103.
