摘要
随着各国自主导航系统的快速发展,多卫星导航系统组合定位成为当前研究热点,其可弥补单系统在全球卫星导航系统(Global Navigation Satellite System,GNSS)信号遮挡严重区域无法提供连续、可靠的定位服务的不足。文章基于国际全球连续监测评估系统(international GNSS Monitoring&Assessment Service,iGMAS)产品,研究分析了中国北斗卫星导航系统(BeiDou Navigation Satellite System,BDS)与美国全球定位系统(Global Positioning System,GPS)组合实时动态定位(Real-Time Kinematic,RTK)性能。静态实验结果表明,开阔区GPS-RTK定位精度优于BDS、BDS/GPS组合RTK定位结果,封闭区BDS/GPS组合定位性能优于单系统定位精度,BDS定位结果优于GPS;动态实验结果表明,在信号遮挡严重区BDS/GPS组合可持续提供定位服务,但服务的可靠性较低。
With the rapid development of the autonomous navigation system in many countries, multi- band multi-mode Global Navigation Satellite System（GNSS） integrated positioning has become the current research hotspot, which can overcome the limitations that the navigation based on single satel- lite system would not be continuous and reliable while GNSS signal is sheltered seriously. In this pa- per, the performance about BeiDou Navigation Satellite System/Global Positioning System （BDS/ GPS） integrated Real-Time Kinematic（RTK） positioning with the application of products of interna- tional GNSS Monitoring ＆ Assessment Service（iGMAS） is studied. The results of static experiment show that for the open area, the accuracy of GPS-RTK positioning is better than that of BDS, BDS/ GPS integrated RTK positioning, and for the closed area, the performance of BDS/GPS integrated po- sitioning is better than that of single positioning system, and the BDS positioning results are better than GPS results. The results ＇of kinematic experiment show that in the serious signal blocking area, BDS/GPS can provide sustainable positioning services, but the services will be less reliable.
作者
张铭彬
王潜心
厉姣姣
ZHANG Mingbin WANG Qianxin LI Jiaojiao(School of Environment Science and Spatial Inforrnaties, China University of Mining and Teehnology, Xuzhou 221116, China Bureau of Land and Resources of Xuzhou, Xuzhou 221000, China)
出处
《合肥工业大学学报（自然科学版）》
CAS
北大核心
2017年第3期327-331,356,共6页
Journal of Hefei University of Technology：Natural Science
基金
国家自然科学基金资助项目(41574013)
国家科技基础工作专项资助项目(2015FY310200)
中央高校基本科研业务费专项资金资助项目(41504032)
地理信息国家重点实验室基金资助项目(SKLGIE2014-Z-1-1)
