Abstract

Vehicle positioning is becoming an important issue related to Intelligent Transportation Systems (ITSs). Novel vehicles and autonomous vehicles need to be localized under different weather conditions and it is important to have a reliable positioning system to track vehicles. Satellite navigation systems can be a key technology in providing global coverage and providing localization services through many satellite constellations such as GPS, GLONASS, Galileo and so forth. However, the modeling of positioning and localization systems under different weather conditions is not a trivial objective especially considering different factors such as receiver sensitivity, dynamic weather conditions, propagation delay and so forth. This paper focuses on the use of simulators for performing different kinds of tests on Global Navigation Satellite System (GNSS) systems in order to reduce the cost of the positioning testing under different techniques or models. Simulation driven approach, combined with some specific hardware equipment such as receivers and transmitters can characterize a more realistic scenario and the simulation can consider other aspects that could be complex to really test. In this work, the main contribution is the introduction of the Troposphere Collins model in a GNSS simulator for VANET applications, the GPS-SDR-SIM software. The use of the Collins model in the simulator allows to improve the accuracy of the simulation experiments throughout the reduction of the receiver errors.

Highlights

  • The Global Navigation Satellite System (GNSS) refers to a satellite navigation system for providing global coverage thanks to a satellites constellation providing signals from space

  • In this paper, taking as reference scenario the field of vehicles’ applications, we propose the integration on the Troposphere Collins model [14] inside a well known GNSS simulator called Global Positioning System (GPS)-SDR-SIM written in C language and able to generates GPS baseband signal data streams, which can be converted to Radio Frequency (RF) using software-defined radio (SDR) platforms

  • Global Navigation Satellite Systems, abbreviated as GNSS is a term that refers to a number of multi-satellite systems that are owned, originated or being developed by different nations in the world and are used to provide navigation and positioning data up to a certain level of accuracy for domestic, commercial, military and research purposes

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Summary

Introduction

The Global Navigation Satellite System (GNSS) refers to a satellite navigation system for providing global coverage thanks to a satellites constellation providing signals from space. Thanks to this global coverage, the receivers that are located anywhere on the Earth’s surface or on the atmosphere, can determine their geographic coordinates by processing the Radio Frequency (RF) signals transmitted by satellites They use the trilateration operation, in order to obtain its position, as each satellite continuously sends information regarding the ephemeris [2]. GNSS performance is evaluated by four principles—Accuracy: evaluating differences between a receiver’s measured and real position, speed or time; Integrity—evaluating a system’s capacity to provide a threshold of confidence and, in the event of an anomaly in the positioning data, an alarm; Continuity: evaluating a system’s ability to function without interruption; Availability, evaluating the percentage of time a signal fulfils the above accuracy, integrity and continuity principles This performance can be improved by regional satellite-based augmentation systems (SBAS), such as the European Geostationary Navigation Overlay Service (EGNOS), enhancing the GPS accu-.

Related Work
GNSS Simulators
GNSS in VANET
Main Paper Contributions
Introduction to GNSS
Why Use GNSS Simulator
Pseudorange
GNSS Application in VANET
Tropospheric Model Solution
Tropospheric Collins Model
Model Implementation
Simulation Environment
Experimental Results
Conclusions and Future Works
Full Text
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