Abstract

Nowadays, a Global Navigation Satellite System (GNSS) unit is embedded in nearly every smartphone. This unit allows a smartphone to detect the user’s location and motion, and it makes functions, such as navigation, tracking, and compass applications, available to the user. Therefore, the GNSS unit has become one of the most important features in modern smartphones. However, because most smartphones incorporate relatively low-cost GNSS chips, their localization accuracy varies depending on the number of accessible GNSS satellites, and it is highly dependent on environmental factors that cause interference such as forests and buildings. This research evaluated the performance of the GNSS units inside two different models of smartphones in determining pedestrian locations in different environments. The results indicate that the overall performances of the two devices were related directly to the environment, type of smartphone/GNSS chipset, and the application used to collect the information.

Highlights

  • These days many different brands and models of smartphone are available on the market

  • Dilution of Precision (DOP) is a term used to describe the strength of the satellite configuration on the accuracy of the data collected by the GPS receivers [3, 14]

  • This research studied the availability and accuracy of Global Navigation Satellite System (GNSS) receivers embedded inside two of the most popular smartphones by analyzing the National Marine Electronics Association (NMEA) output logged by different mobile applications in two different environments

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Summary

Introduction

These days many different brands and models of smartphone are available on the market Most of these smartphones incorporate different types of embedded sensors such as GNSS receivers, Radio-Frequency Identification, a camera, and an inertial platform [1]. These devices could be used to provide seamless integration of three positioning technologies: the Assisted Global Positioning System (A-GPS), WiFi positioning, and cellular network positioning [2].

Smartphone GNSS Analysis
Smartphone GNSS Availability
GB RAM
Conclusions
Full Text
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