Abstract

Single point positioning (SPP) mode, related to pseudorange measurements, limits the level of accuracy to several meters in open sky and to several dozens of meters in urban canyons. This paper explores the effect of using a large number of SPP observations from low-cost global navigation system (GNSS) receivers, smartphones, and handheld GNSS units. Data segmentation and bootstrapping statistical methods were used to obtain the deviation, which can describe the accuracy of the large sample. The empirical test recording data showed that the error may achieve a sub-meter horizontal accuracy by the simple process of increasing the measurements of smartphones and handheld GNSS units. However, the drawback is the long period of time required. To reduce the satellite tracking time, a least squares solution network was applied over all the recorded data, assisted by the external geometric conditions. The final goal was to obtain the absolute positioning and associated deviations of one vertex from three or five GNSS receivers positioned on a network. The process was tested in three geodetic network examples. The results indicated that the enhanced SPP mode was able to improve its accuracy. Errors of several meters were reduced to values close to 50 cm in 25–37 min periods.

Highlights

  • Global navigation satellite systems (GNSS) are one of the most pervasive technologies in use

  • single point positioning (SPP) mode is only related to pseudorange measurements. This mode limits their level of accuracy to several meters in open sky and to several dozens of meters in urban canyons [2]

  • GNSS operational mode used was the single point positioning (SPP), which can reach a positioning accuracy around 5–10 m in the open sky

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Summary

Introduction

Global navigation satellite systems (GNSS) are one of the most pervasive technologies in use. Applications of satellite navigation are integrated in billions of smartphones and other devices. According to Carlo des Dorides, Executive Director of the European GNSS Agency (GSA), for the year 2020 the global installed base of GNSS devices in use was forecast to reach almost 6.5 billion [1]. To find the absolute position of a point is a very fundamental problem in positional. The most common GNSS absolute positioning is called single point positioning (SPP). SPP mode is only related to pseudorange measurements. This mode limits their level of accuracy to several meters in open sky and to several dozens of meters in urban canyons [2]. The pseudorange noise of smart devices is about 10 times larger than that of geodetic receivers [3]

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