Improved network-based single-epoch ambiguity resolution using centralized GNSS network processing
Improved network-based single-epoch ambiguity resolution using centralized GNSS network processing
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DOI：
10.1007/s10291-012-0256-x
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发表时间：
2012
期刊：
影响因子：
4.9
通讯作者：
N. Zinas;A. Parkins;M. Ziebart
中科院分区：
文献类型：
--
作者：
N. Zinas;A. Parkins;M. Ziebart
网络实时运动学（NRTK）定位是当今高精度应用的行业标准。一旦确定了网络歧义，网络引擎处理来自多个连续运行的参考站的同时观测，为在网络区域内操作的用户计算更正。用户被视为网络的被动节点。然而，如果双向通信是可用的，那么用户可以将他们的观察结果传输到中央处理设施，在那里网络可以将它们视为活动节点，从而使现有的网络基础设施更加密集。这种多漫游车网络（MRN）概念利用了GNSS网络中用户提供的附加信息。一种应用是利用较短的接收机间距离来提高单历元模糊度分辨率的成功率。这也是子集模糊度解决算法的目标，该算法通过允许模糊度子集被解决来提高单历元的成功率。我们提出了一种增强的处理策略，以补充厘米级单历元NRTK定位。该方法将单基线和MRN解决方案与部分模糊度解决算法相结合，仅适用于集中式GNSS网络架构。对该算法进行了针对最近参考站的全套模糊定位标准网络模糊解决策略的测试。使用来自南加州综合GNSS网络的24小时数据集，配置三个参考站和四个用户。增强的解决方案在所有4个用户和所有epoch中实现了83%的平均歧义解决成功率，而传统技术为32%。
Network real-time kinematic (NRTK) positioning is today’s industry standard for high-precision applications. Once network ambiguities are fixed, the network engine processes simultaneous observations from a number of continuously operating reference stations to compute corrections for users operating within the network area. Users are treated as passive nodes of the network. However, if two-way communication is available, then users could transmit their observations to the central processing facility where the network can treat them as active nodes, densifying the existing network infrastructure. This multiple rover network (MRN) concept exploits the additional information provided by users in a GNSS network. One application is to use the shorter inter-receiver distances to improve the success rate of single-epoch ambiguity resolution. This is also the goal of the subset ambiguity resolution algorithm, which improves the single-epoch success rate by allowing a subset of ambiguities to be resolved. We present an enhanced processing strategy to complement centimeter-level single-epoch NRTK positioning. This approach combines a single-baseline and an MRN solution with the partial ambiguity resolution algorithm and is only possible for a centralized GNSS network architecture. The algorithm is tested against the standard network ambiguity resolution strategy of full-set ambiguity fixing with respect to the nearest reference station. A 24-h dataset from the Southern California Integrated GNSS network is used with a configuration of three reference stations and four users. The enhanced solution achieves a mean ambiguity resolution success rate of 83% over all four users and all epochs, compared to 32% for the conventional technique.