| GNSS卫星导航地基增强系统与位置云服务关键技术 |
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| 引用本文： | 黄丁发,周乐韬,卢建康,梅熙,冯威,张熙,严丽.GNSS卫星导航地基增强系统与位置云服务关键技术[J].西南交通大学学报,2016,29(2):388-395. |
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| 作者姓名： | 黄丁发 周乐韬 卢建康 梅熙 冯威 张熙 严丽 |
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| 基金项目： | 国家自然科学基金资助项目(41374032)中国铁路总公司科技研究发展计划资助项目(2014G04-A-3)教育部创新团队发展计划资助项目(ITR13092) |
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| 摘 要： | 针对地基增强系统自主研发了高精度增强参考站网络位置服务平台,通过与国际上代表性的平台系统比测,结果表明:网络RTK服务的初始化时间基本一致,相同测试点两个系统的精度相当,均实现了厘米级的RTK定位.北斗与GPS联合数据处理结果表明:联合解的57条基线在X、Z方向均优于1 mm,Y方向优于2 mm.与北斗和GPS单独解算相比,联合解算分别有55条和53条基线精度得到了改善,占总体的96.5%和93.0%.针对大规模CORS网络的多模GNSS数据融合、处理与位置服务问题,提出了建立位置无关服务和资源池的位置云服务的思想,实现数据处理与分析能力共享、多样性服务、广域无缝定位连接,为广域分布式CORS网络的信息获取、共享、处理和分析等提供了全新的理论基础.
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| 关 键 词： | GNSS 卫星导航 地基增强 多模GNSS数据融合 位置云 位置服务 |
| 收稿时间： | 2015-10-15 |
Key Techniques of GNSS Ground-Based Augmentation System and Location Based Cloud Service |
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| HUANG Dingfa,ZHOU Letao,LU Jiankang,MEI Xi,FENG Wei,ZHANG Xi,YAN Li.Key Techniques of GNSS Ground-Based Augmentation System and Location Based Cloud Service[J].Journal of Southwest Jiaotong University,2016,29(2):388-395. |
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| Authors: | HUANG Dingfa ZHOU Letao LU Jiankang MEI Xi FENG Wei ZHANG Xi YAN Li |
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| Abstract: | To accomplish a GNSS (global navigation satellite system) ground-based augmentation system, a high-precision location based service (LBS) platform using augmentation reference station network (ARSNet) was developed independently. The ARSNet was tested in comparison with the international representative LBS platform, showing that its initial time and precision of network real-time kinematic (RTK) positioning are at the same level as the international platform; i.e., centimeter-level RTK positioning can be achieved in the both LBS platforms. Experimental results of data processing by combination use of Beidou system (BDS) and global positioning system (GPS) indicate that the precision of the BDS/GPS combined solution is about 1 mm in the X-and Z-directions, and 2 mm in the Y-direction for the 57 baselines tested. Compared to the BDS-only and GPS-only solutions, the BDS/GPS combined processing strategy can improve the precision in 55 baselines and 53 baselines respectively, namely 96.5% and 93.0% of the total baselines. In addition, key issues of multi-mode GNSS data fusion, processing, and location service in large-scale CORS network are studied. A location cloud service, with location-independent service and resource pool, is proposed to share capabilities of data processing and analyzing, and provide diversity services and wide area seamless positioning. The proposed techniques provide a new theoretical basis to obtain, share, process and analyze information for wide area distributed CORS network. |
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