Owing to the variability of mine surfaces, it is difficult to obtain the deformation monitoring data of the observation stations by traditional leveling technique. GPS RTK （Real-Time Kinematic） technique was employe...Owing to the variability of mine surfaces, it is difficult to obtain the deformation monitoring data of the observation stations by traditional leveling technique. GPS RTK （Real-Time Kinematic） technique was employed to the subsidence observation in this paper, and its main sources of errors including rover pole deflection of the vertical, un-modeled systematic errors （gross error, multipath delay etc.） and the height transformation error, were analyzed systematically. Based on the fundamental theories of spherical fit- ting and Empirical Mode Decomposition （EMD）, the error reduction models were studied exhaustively. And two experiments were done in different environment to test the proposed models. The results show that the proposed methods can achieve a fourth-grade leveling accuracy, with （Root-Mean-Square） RMS in three orthogonal directions （N, E and H） of 4.1, 3.3 and 3.1 ram, respectively, by 3-5 rain continuous shaking of the observation GPS antenna, fully satisfying for mine surface subsidence deformation monitoring.展开更多
基金sponsored by the National Natural Science Foundation of China (Nos.41074010, 41104005 and 40904004)the Scientific Research Foundation of Key Laboratory for Land Environment and Disaster Monitoring of SBSM (Nos.LEDM2010B12 and LEDM2009A01) the Jiangsu Qinglan Project
文摘Owing to the variability of mine surfaces, it is difficult to obtain the deformation monitoring data of the observation stations by traditional leveling technique. GPS RTK （Real-Time Kinematic） technique was employed to the subsidence observation in this paper, and its main sources of errors including rover pole deflection of the vertical, un-modeled systematic errors （gross error, multipath delay etc.） and the height transformation error, were analyzed systematically. Based on the fundamental theories of spherical fit- ting and Empirical Mode Decomposition （EMD）, the error reduction models were studied exhaustively. And two experiments were done in different environment to test the proposed models. The results show that the proposed methods can achieve a fourth-grade leveling accuracy, with （Root-Mean-Square） RMS in three orthogonal directions （N, E and H） of 4.1, 3.3 and 3.1 ram, respectively, by 3-5 rain continuous shaking of the observation GPS antenna, fully satisfying for mine surface subsidence deformation monitoring.
