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首页> 外文会议>Proceedings of the 2016 IEEE/ION Position, Location and Navigation Symposium >A dense reference network for mass-market centimeter-accurate positioning
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A dense reference network for mass-market centimeter-accurate positioning

机译：用于大众市场厘米级精确定位的密集参考网络

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摘要

The quality of atmospheric corrections provided by a dense reference network for centimeter-accurate carrier-phase differential GNSS (CDGNSS) positioning is investigated. A dense reference network (less than 20 km inter-station distance) offers significant benefits for mass-market users, enabling low-cost (including single-frequency) CDGNSS positioning with rapid integer ambiguity resolution. Precise positioning on a mass-market platform would significantly influence the world economy, ushering in a host of consumer-focused applications such as globally-registered augmented and virtual reality and improved all-weather safety and efficiency for intelligent transportation systems, applications which have so far been hampered by the several-meter-level errors in standard GNSS positioning. This contribution examines CDGNSS integer ambiguity resolution performance in terms of network correction uncertainty, and network correction uncertainty, in turn, in terms of network density. It considers the total error in network corrections: a sum of ionospheric, tropospheric, and reference station multipath components. The paper's primary goal is to identify the network density beyond which mass-market users would see no further significant improvement in ambiguity resolution performance. It finishes by describing development and deployment of a low-cost dense reference network in Austin, Texas.
机译：研究了由密集参考网络为厘米级精确的载波相位差分GNSS（CDGNSS）定位提供的大气校正的质量。密集的参考网络（站间距离小于20 km）为大众市场用户带来了显着优势，可实现低成本（包括单频）CDGNSS定位并具有快速的整数歧义分辨率。在大众市场平台上的精确定位将极大地影响世界经济，迎来一系列以消费者为中心的应用程序，例如全球注册的增强现实和虚拟现实，以及提高智能交通系统全天候安全性和效率的应用程序。标准GNSS定位中的几米级误差已严重阻碍了这一工作。此贡献从网络校正不确定性方面检查CDGNSS整数歧义分辨率性能，然后从网络密度方面检查网络校正不确定性。它考虑了网络校正中的总误差：电离层，对流层和参考站多径分量之和。本文的主要目标是确定网络密度，超过此密度，大众市场用户将看不到歧义解决方案性能的进一步显着提高。最后介绍了德克萨斯州奥斯丁市低成本密集型参考网络的开发和部署。

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