Tropea Mauro, Arieta Angelo, De Rango Floriano, Pupo Francesco
Department of Informatics, Modeling, Electronics and System Engineering (DIMES), University of Calabria, Via P.Bucci 39/c, 87036 Rende, Italy.
NTT Data, c.da Cutura, Via Spagna 50, 87036 Rende, Italy.
Sensors (Basel). 2021 Apr 3;21(7):2491. doi: 10.3390/s21072491.
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.
车辆定位正成为与智能交通系统（ITS）相关的一个重要问题。新型车辆和自动驾驶车辆需要在不同天气条件下进行定位，拥有一个可靠的定位系统来跟踪车辆至关重要。卫星导航系统可能是提供全球覆盖并通过诸如GPS、GLONASS、伽利略等众多卫星星座提供定位服务的关键技术。然而，考虑到诸如接收机灵敏度、动态天气条件、传播延迟等不同因素，在不同天气条件下对定位和定位系统进行建模并非易事。本文着重于使用模拟器对全球导航卫星系统（GNSS）进行各类测试，以降低不同技术或模型下的定位测试成本。仿真驱动方法与诸如接收机和发射机等一些特定硬件设备相结合，可以描绘出更真实的场景，并且仿真可以考虑到实际测试可能复杂的其他方面。在这项工作中，主要贡献是在用于车联网应用的GNSS模拟器GPS - SDR - SIM软件中引入了对流层柯林斯模型。在模拟器中使用柯林斯模型能够通过减少接收机误差来提高仿真实验的准确性。
