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Simulation Analysis for Performance Improvements of GNSS-based Positioning in a Road Environment

机译:基于GNSS的定位性能改进的仿真分析

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Global Navigation Satellite Systems (GNSSs), such as the Global Positioning System (GPS) in the USA, the GLObal NAvigation Satellite System (GLONASS) in Russia, and the Galileo in the EU, determine a target position using a satellite signal. They are widely used around the globe at this time. However, there is a critical obstacle when attempting to run a navigation system in a land vehicle. In contrast to aircraft or vessels, which operate in open areas without any obstacles, land vehicles must deal with signal occlusion caused by surrounding buildings, skyscrapers and other objects, especially in urban areas. In order to solve this problem, many researchers have studied many different methods, such as GPS/GLONASS-integrated positioning; pseudolite, which produces a signal similar to that of GPS; and GPS/Vision integrated positioning. These studies have mainly focused on integrated positioning methods. In contrast, this paper focuses on the relationship between the position of a new signal generator and positioning error for high-accuracy positioning in GPS shaded areas using simulation analysis. Through this analysis, we confirmed that horizontal positioning error is the lowest (10m) in the urban canyon when the degrees of geometric stability is the best.
机译:全球导航卫星系统(GNSSS),如美国的全球定位系统(GPS),俄罗斯的全球导航卫星系统(GLONASS)以及欧盟的伽利略,使用卫星信号确定目标位置。他们此时广泛使用全球。然而,在尝试在陆地车辆中运行导航系统时存在关键障碍。与飞机或船舶相比,在没有任何障碍的开放区域运行,土地车辆必须处理由周围建筑物,摩天大楼和其他物体,特别是在城市地区引起的信号闭塞。为了解决这个问题,许多研究人员研究了许多不同的方法,例如GPS / GLONASS集成定位;伪石,产生类似于GPS的信号;和GPS /视觉集成定位。这些研究主要集中在集成定位方法上。相比之下,本文侧重于使用模拟分析在GPS阴影区域中高精度定位的高精度定位的位置与定位误差之间的关系。通过这种分析,我们确认水平定位误差是城市峡谷中最低点(10米),当几何稳定性是最好的。

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