Adaptive Robust Filtering Algorithm for BDS Medium and Long Baseline Three Carrier Ambiguity Resolution

作     者：Yangjun GAO Zhiwei LV Pengjin ZHOU Zhengyang JIA Lundong ZHANG Dianwei CONG Yangjun GAO;Zhiwei LV;Pengjin ZHOU;Zhengyang JIA;Lundong ZHANG;Dianwei CONG

作者机构：Institute of Geospatial InformationInformation Engineering UniversityZhengzhou 450001China 

出 版 物：《Journal of Geodesy and Geoinformation Science》 (测绘学报（英文版）)

年 卷 期：2020年第3卷第2期

页      面：53-61页

学科分类：0809[工学-电子科学与技术（可授工学、理学学位）] 080902[工学-电路与系统] 08[工学] 0804[工学-仪器科学与技术] 

主　　题：adaptive robust filter Beidou wide-lane narrow-lane ambiguity TCAR 

摘      要：For classical TCAR(three carrier ambiguity resolution)algorithm is affected by ionospheric delay and measurement noise,it is difficult to reliably fix ambiguity at medium and long baselines.An improved TCAR algorithm which takes the influence of ionospheric delay into account and has good adaptive robustness is proposed.On the basis of the non-geometric TCAR model,ionospheric delay is obtained by linearly combining extra-wide-lane with fixed ambiguity,and then wide-lane ambiguity is solved.Solving narrow-lane ambiguity by adaptive robust filtering by constructing optimal combination observation,which can effectively improve the fixed success rate of narrow-lane ambiguity and reduce the adverse effects of gross error.Experimental results show that the improved TCAR algorithm can guarantee a high fixed correct rate of wide-lane ambiguity,effectively improve fixed success rate of narrow-lane ambiguity,and has a good ability to resist gross error.