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Statistical Multipath Model Based on Experimental GNSS Data in Static Urban Canyon Environment

机译:基于实验GNSS数据在静态城市峡谷环境中的统计多径模型

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摘要

A deep understanding of multipath characteristics is essential to design signal simulators and receivers in global navigation satellite system applications. As a new constellation is deployed and more applications occur in the urban environment, the statistical multipath models of navigation signal need further study. In this paper, we present statistical distribution models of multipath time delay, multipath power attenuation, and multipath fading frequency based on the experimental data in the urban canyon environment. The raw data of multipath characteristics are obtained by processing real navigation signal to study the statistical distribution. By fitting the statistical data, it shows that the probability distribution of time delay follows a gamma distribution which is related to the waiting time of Poisson distributed events. The fading frequency follows an exponential distribution, and the mean of multipath power attenuation decreases linearly with an increasing time delay. In addition, the detailed statistical characteristics for different elevations and orbits satellites is studied, and the parameters of each distribution are quite different. The research results give useful guidance for navigation simulator and receiver designers.
机译:深入了解多径特征对于在全球导航卫星系统应用中设计信号模拟器和接收器至关重要。随着部署新的​​星座,在城市环境中发生更多的应用程序,导航信号的统计多径模型需要进一步研究。本文基于城市峡谷环境中的实验数据,提出了多径时延,多径功率衰减和多径衰减频率的统计分布模型。通过处理真实的导航信号来研究统计分布来获得多径特征的原始数据。通过拟合统计数据,它表明时间延迟的概率分布遵循与泊松分布事件的等待时间相关的伽马分布。衰落频率遵循指数分布,并且多径功率衰减的平均值随着时间延迟的增加而线性降低。此外,研究了不同凸起和轨道卫星的详细统计特征,每个分布的参数都有很大差异。研究结果为导航模拟器和接收器设计人员提供了有用的指导。

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