Abstract
With great potential for being applied to Internet of Things (IoT) applications, the concept of cloud-based Snapshot Real Time Kinematics (SRTK) was proposed and its feasibility under zero-baseline configuration was confirmed recently by the authors. This article first introduces the general workflow of the SRTK engine, as well as a discussion on the challenges of achieving an SRTK fix using actual snapshot data. This work also describes a novel solution to ensure a nanosecond level absolute timing accuracy in order to compute highly precise satellite coordinates, which is required for SRTK. Parameters such as signal bandwidth, integration time and baseline distances have an impact on the SRTK performance. To characterize this impact, different combinations of these settings are analyzed through experimental tests. The results show that the use of higher signal bandwidths and longer integration times result in higher SRTK fix rates, while the more significant impact on the performance comes from the baseline distance. The results also show that the SRTK fix rate can reach more than 93% by using snapshots with a data size as small as 255 kB. The positioning accuracy is at centimeter level when phase ambiguities are resolved at a baseline distance less or equal to 15 km.
Highlights
In recent years, applications of Internet of Things (IoT) and Location Based Service (LBS)have gained much greater attention from the industry [1] and research communities [2,3,4].Behind these popular concepts are the fast development of technologies such as GlobalNavigation Satellite Systems (GNSS) [5], cloud computing and 4G/5G communication.The great pace of these developments brought a number of enabling capabilities; we mention here three main aspects related to the work in this article
The collected snapshot data were sent to the Albora cloud platform and were processed by the Snapshot Real Time Kinematics (SRTK) positioning engine proposed in this manuscript
Before presenting the Real Time Kinematics (RTK) performances, the number of satellites and DOP values are shown in Figure 7 as an overview of the snapshot data scenario geometry, an elevation mask of 10 degrees was set to filter out the low-elevation satellites
Summary
Applications of Internet of Things (IoT) and Location Based Service (LBS)have gained much greater attention from the industry [1] and research communities [2,3,4].Behind these popular concepts are the fast development of technologies such as GlobalNavigation Satellite Systems (GNSS) [5], cloud computing and 4G/5G communication.The great pace of these developments brought a number of enabling capabilities; we mention here three main aspects related to the work in this article. Have gained much greater attention from the industry [1] and research communities [2,3,4]. Behind these popular concepts are the fast development of technologies such as Global. The fast pace of the 4G/5G base station deployment has made internet access available for much larger areas with faster speed and lower delay. An increasing number of cloud computing platforms have been developed by different service providers; better computation power and greater data storage capabilities are available to individuals or companies with easy access and great flexibility. An ever increasing number of GNSS reference stations are being deployed worldwide and reference correction data distributed ensuring shorter baseline distances to the GNSS user receivers, which is critical for Real Time Kinematics (RTK)
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