Statistical Multipath Model Based on Experimental GNSS Data in Static Urban Canyon Environment
AbstractA 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. View Full-Text
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Wang, Y.; Chen, X.; Liu, P. Statistical Multipath Model Based on Experimental GNSS Data in Static Urban Canyon Environment. Sensors 2018, 18, 1149.
Wang Y, Chen X, Liu P. Statistical Multipath Model Based on Experimental GNSS Data in Static Urban Canyon Environment. Sensors. 2018; 18(4):1149.Chicago/Turabian Style
Wang, Yuze; Chen, Xin; Liu, Peilin. 2018. "Statistical Multipath Model Based on Experimental GNSS Data in Static Urban Canyon Environment." Sensors 18, no. 4: 1149.
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