Robust real-time kinematic positioning method based on NLOS detection and multipath elimination in GNSS challenged environments

被引:7
|
作者
Ye, Xiaozhou [1 ]
Ma, Chunjiang [1 ]
Liu, Wenxiang [1 ]
Wang, Feixue [1 ]
机构
[1] Natl Univ Def Technol, Coll Elect Sci & Technol, Changsha 410073, Peoples R China
关键词
telecommunication computing; satellite navigation; real-time systems; signal detection; decision trees; robust real-time kinematic positioning method; multipath elimination; nonline-of-sight signals; global navigation satellite system; real-time kinematic position precision; position accuracy; robust positioning method; double-differenced multipath errors; NLOS detection performance; normal RTK method; GNSS challenged environments; NLOS signals; decision tree; ambiguity fixing rate; instantaneous mode; 3D position accuracy; RTKLIB software;
D O I
10.1049/el.2020.2210
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Owing to the existence of non-line-of-sight (NLOS) signals in global navigation satellite system (GNSS) challenged environment, the real-time kinematic (RTK) position precision is seriously damaged. In order to improve the position accuracy, the authors propose a robust positioning method which tackles this problem by detecting the NLOS through a decision tree and estimating the double-differenced multipath errors in real time. The NLOS detection performance of the proposed method is 95.64%. The field experiment shows that the ambiguity fixing rate has improved by 43% in the instantaneous mode, and the 3D position accuracy is about 81.77% higher better than that of normal RTK method which is implemented by using RTKLIB software.
引用
收藏
页码:1332 / 1335
页数:3
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