Assessment of sparse GNSS network for network RTK

IF 0.9 Q4 REMOTE SENSING Journal of Geodetic Science Pub Date : 2018-12-01 DOI:10.1515/jogs-2018-0014
H. Koivula, J. Kuokkanen, Simo Marila, S. Lahtinen, Tuukka Mattila
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引用次数: 4

Abstract

Abstract We tested the accuracy and usability of a sparse GNSS reference station network for network RTK (NRTK) using the Finnish permanent GNSS network FinnRef. We modified the configuration of the FinnRef network stations used in NRTK computation. This allowed us to perform the test both inside and outside of the network area using different NRTK methods and two different RTK receivers. In the test area the average distance between the FinnRef stationswas 160 km. As a comparison,we tested also with the commercial Trimnet and HxGN SmartNet positioning services operated by Geotrim Oy and Leica Geosystems Finland, respectively. Tests showed that the horizontal and vertical rms of Trimnet servicewas 16mmand 40 mm, and of HxGN SmartNet service 23mmand 48 mm. The best rms for the sparse NLS (National Land Survey of Finland) Service was 22 mm and 56 mm. These results indicate that a good NRTK solution can be achieved with a sparser network than typically used. This study also indicates, that the methods for NRTK processing can also affect the quality of the solution.
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稀疏GNSS网络的网络RTK评价
摘要利用芬兰永久GNSS网络FinnRef,对稀疏GNSS参考站网络RTK (NRTK)的准确性和可用性进行了测试。我们修改了用于NRTK计算的FinnRef网络站的配置。这使我们能够使用不同的NRTK方法和两个不同的RTK接收器在网络区域的内部和外部执行测试。在试验区,芬兰气象站之间的平均距离为160公里。作为对比,我们还分别测试了Geotrim Oy和Leica Geosystems Finland运营的商用Trimnet和HxGN SmartNet定位服务。测试表明,Trimnet服务的水平和垂直均方根为16mm / 40mm, HxGN SmartNet服务的水平和垂直均方根为23mm / 48mm。芬兰国家土地调查(NLS)服务的最佳均方根为22 mm和56 mm。这些结果表明,一个好的NRTK解决方案可以通过比通常使用的更稀疏的网络来实现。研究还表明,NRTK的处理方法也会影响溶液的质量。
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来源期刊
Journal of Geodetic Science
Journal of Geodetic Science REMOTE SENSING-
CiteScore
1.90
自引率
7.70%
发文量
3
审稿时长
14 weeks
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