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A hybrid integrity monitoring method using vehicular wireless communication in difficult environments for GNSS

机译：一种混合完整性监测方法，在GNSS困难环境中使用车辆无线通信

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摘要

Vehicular communication using the DSRC (Dedicated Short Range Communication) standard is becoming an enabling factor for a wide range of Cooperative Intelligent Transportation System (C-ITS) applications, especially those with high requirements of safety assurance. The location information of connected vehicles is fundamental, and significant for ensuring safe driving and preventing traffic accidents under complex and uncertain conditions. In order to alleviate the drawbacks of GNSS (Global Navigation Satellite System) based positioning due to satellite signal non-availability under difficult environments such as dense urban areas, a hybrid integrity monitoring technique is proposed. The range-rate measurement from the DSRC unit in the vehicle is employed to assist integrity monitoring of observable satellites, and the DSRC measurements are sent to the target vehicle through a vehicle-to-vehicle channel along with the identified state of neighboring vehicles. With the assistance from surrounding neighborhoods and a road map database, a virtual satellite ranging solution is possible to expand the measurements for enabling autonomous GNSS integrity monitoring and fault detection without the limitation of satellite visibility. Simulations conducted with different vehicle operation conditions and GNSS fault models demonstrate that the proposed solution outperforms conventional RAIM (Receiver Autonomous Integrity Monitoring) methods making it promising for many location-based cooperative applications.
机译：使用DSRC（专用短程通信）标准的车辆通信正在成为广泛的合作智能运输系统（C-ITS）应用的能力，尤其是具有高要求安全保证的应用。连接的车辆的位置信息是基本的，并且对于确保安全驾驶和防止在复杂和不确定条件下的交通事故的重要信息很重要。为了减轻基于GNSS（全球导航卫星系统）的缺点，由于诸如密集的城市区域的困难环境下的卫星信号不可用，提出了一种混合完整性监测技术。从车辆中的DSRC单元的范围测量用于协助可观察卫星的完整性监测，并且DSRC测量通过车辆到车辆通道以及邻近车辆的识别状态发送到目标车辆。在周围社区和路线图数据库的帮助下，可以进行虚拟卫星测距解决方案，以扩展可实现自主GNSS完整性监控和故障检测的测量，而不会限制卫星可见性。使用不同的车辆操作条件和GNSS故障模型进行的模拟表明，所提出的解决方案优于传统的Raim（接收者自主完整性监测）方法，使其对许多基于位置的合作应用有望。

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