.png){kind=icon}
返回
Improving the initialization speed for long-range NRTK in network solution mode
.png){kind=icon}
PRE
AI
DOI：10.1007/s11431-019-9507-8.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Initialization speed is one of the most important factors in network real time kinematic (NRTK) performance. Owing to the low correlation among the error sources of reference stations, it is difficult to fix reference station ambiguities of long-range NRTK quickly. In traditional reference stations ambiguity resolution (AR) methods, baselines are usually solved independently which is called baseline solution (BS) mode in this study. Because the correlations among baselines are not taken into consideration in ambiguities estimation, the AR speed is slow. Generally, tens of minutes or longer time is required to initialize. We propose a network solution (NS) mode approach, in which the correlations among the double-difference ambiguities (DDAs) as well as double-difference ionospheric delays (DDIDs) of different baselines are considered in estimating float ambiguity solutions. Experimental results show that the float ambiguity solutions obtained are more accurate with an improved consistency. Thus, initialization speed is significantly increased by 18% in NS mode.
Keyword:
initialization speed
network real time kinematic (NRTK)
reference station
ambiguity resolution (AR)
network solution (NS) mode
baseline solution (BS) mode
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
4.9
论文数:
5.0K
被引数:
9.9K
机构
引用论文
Time synchronization in communication networks based on the Beidou foundation enhancement system
PREAI
分享收藏Heart rate variability as a prognostic tool in cardiology. A contribution to the problem from a theoretical point of view..png)
Circulation
OAAI
CirculationIF0
OAAI分享收藏分享收藏
查看更多内容