RESEARCH ON LONG BASELINE AMBIGUITY RESOLUTION OF NETWORK RTK
Ke Fuyang 1) ; Wang Qing 2) ; and Pan Shuguo 2)
1)School of Remote Sensing, Nanjing University of Information Science & Technology, Nanjing 210044;2)School of Instrument of Science and Engineering, Southeast University, Nanjing 210096
Abstract:With the distance between reference stations longer and longer, the atmospheric error related to spatial distance will be significantly reduced and can not be separated from ambiguity, so that the ambiguity is difficult to be fixed accurately. In view of this, an ambiguity resolution method suitable for long baseline is advanced based on partial ambiguity and Kalman filter. Firstly, the ambiguity of the satellites with higher elevation are resolved by twosteps and partial ambiguity methods. Secondly, the zenith atmospheric delay errors of reference stations are estimated by Kalman filter. Finally, the ambiguity of satellite with lower elevation between long baseline reference stations is corrected by the zenith atmospheric dalay errors estimated for the accurate resolution. At the last, the method is verified by the observations of part referece stations in Jiangsu CORS, the results show that the double difference ambiguity is accurate and reliable for the satellites with lower elevation between long baseline reference stations.