Detection and De-weighting of Multipath-affected Measurements in a GPS/Galileo Combined Solution

2019 European Navigation Conference (ENC)(2019)

引用 3|浏览8
暂无评分
摘要
Multipath is a major error source for Global Navigation Satellite Systems (GNSS). Different multipath countermeasure techniques have been investigated in the literature, of which detection and exclusion (or de-weighting) of affected measurements is receiving significant attention. Thanks to the development of multi-GNSS constellation receivers, this approach is increasingly effective as measurement redundancy is now sufficiently large to detect and exclude (or de-weight) faulty measurements prior to being used in the navigation solution. Given the benefits of GNSS measurement monitoring in detecting multiple signal failures, this paper focuses on measurement level monitoring techniques to develop effective mechanisms for detection and de-weighting of the signals distorted by multipath. The combination of GPS and Galileo signals is investigated under height-constrained environments to increase measurement redundancy and observability, and consequently improve the performance of detection and de-weighting solutions. Results obtained for a real static multipath scenario show up to 60 percent horizontal improvement for different positioning approaches.
更多
查看译文
关键词
Global Navigation Satellite Systems (GNSS),Global Positioning System (GPS),Galileo positioning system,multipath error,measurement quality monitoring,detection and de-weighting of multipath-affected measurements,measurement geometry,height-constrained GPS/Galileo combined solution
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要