基于GPS+Galileo+BDS+QZSS+GLONASS的长基线RTK定位快速初始化

A. Brack
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引用次数: 2

摘要

在GNSS RTK定位模型中引入大气延迟会显著削弱模糊度解决性能,例如,当需要估计不同电离层延迟时,需要很长时间才能可靠地修复模糊度。为了克服这一问题,本文提出了两种策略的结合:5个GNSS的联合处理和部分模糊度的解决。对于GLONASS,采用了最近从[1]中引入的整数估计FDMA模型。我们分析了两种不同的部分模糊度解决方案,分别使用模拟和来自88.5 km基线的真实GNSS数据。结果表明,电离层加权模型可实现瞬时厘米级定位,而电离层浮动模型平均仅需3.5历元即可达到厘米级定位。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rapid Initialization for Long Baseline RTK Positioning: Combined GPS+Galileo+BDS+QZSS+GLONASS with Partial Ambiguity Resolution
Introducing atmospheric delays in the GNSS RTK positioning model significantly weakens the ambiguity resolution performance, causing for instance long times to reliably fix the ambiguities when differential ionospheric delays have to be estimated. In order to overcome this problem, the combination of two strategies is proposed in this paper: the joint processing of five GNSS and partial ambiguity resolution. For GLONASS, the recently introduced integer estimable FDMA model from [1] is employed. We analyze two different partial ambiguity resolution schemes, both with simulations and real GNSS data from an 88.5 km baseline. The results show that instantaneous centimeter level positioning is possible with the ionosphere weighted model, and that on average only 3.5 epochs are required to reach the centimeter level with the ionosphere float model.
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