现代基准下网络RTK观测的位置不确定性

IF 0.9 Q4 REMOTE SENSING Journal of Geodetic Science Pub Date : 2021-01-01 DOI:10.1515/jogs-2020-0116
T. Bernstein, V. Janssen
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引用次数: 3

摘要

澳大利亚2020地心基准面(GDA2020)是澳大利亚经过大幅改进的新国家基准。它是基于一个单一的,全国性的最小二乘网络调整,严格传播不确定性。本文探讨了通过GDA2020状态调整将网络实时运动学(NRTK)观测及其位置不确定性(PU)纳入新南威尔士州(NSW)调查控制网的三种选择。在第一个选项中,PU是基于超过1500个观测值的数据集进行经验估计的,以获得可以统一应用于所有NRTK观测值的值。在第二种方案中,根据全球导航卫星系统(GNSS)设备提供的坐标质量指标,计算每个NRTK观测的PU。这两种选择都将NRTK观测值作为基于点的位置解,导致与周围测量控制标记的相关性较差。第三种方案克服了这个问题,利用NRTK观测和虚拟参考站(VRS)之间自动计算的GNSS基线来创建一个可以像静态GNSS网络一样调整的连接网络。以悉尼典型城市NRTK调查为例,表明该方法在保持NRTK定位的快速性和简易性的同时,提供了严格的PU计算。
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Positional uncertainty of network RTK observations in a modern datum
Abstract The Geocentric Datum of Australia 2020 (GDA2020) is Australia’s new and much improved national datum. It is based on a single, nationwide least squares network adjustment that rigorously propagates uncertainty. This paper explores three options to include Network Real-Time Kinematic (NRTK) observations and their Positional Uncertainty (PU) in the survey control network of New South Wales (NSW) via the GDA2020 state adjustment. In the first option, PU is empirically estimated based on a dataset of more than 1,500 observations to obtain values that can be uniformly applied to all NRTK observations. In the second option, PU is calculated for each NRTK observation, based on the coordinate quality indicators provided by the Global Navigation Satellite System (GNSS) equipment. Both options continue to treat NRTK observations as point-based position solutions, resulting in poor correlation with surrounding survey control marks. The third option overcomes this issue by utilising the automatically computed GNSS baselines between NRTK observations and their Virtual Reference Station (VRS) to create a connected network that can be adjusted like a static GNSS network. Using a typical urban NRTK survey in Sydney as an example, it is shown that this method offers a rigorous computation of PU, while maintaining the quick and easy nature of NRTK positioning.
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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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