Simulation-based Analysis of Multipath Delay Distributions in Urban Canyons
Simon Ollander, Friedrich-Wilhelm Bode, Marcus Baum

TL;DR
This study uses simulations to analyze how multipath delay distributions vary with urban canyon depth, providing models to estimate delays based on satellite reception, which can improve GNSS accuracy in dense city environments.
Contribution
It introduces a simulation-based approach to characterize multipath delay distributions across different urban canyon depths and proposes a quadratic model for delay estimation.
Findings
Multipath delays follow gamma distributions.
Shape parameters decrease with increasing canyon depth.
Delay distribution can be estimated from the number of received satellites.
Abstract
Global navigation satellite systems provide accurate positioning nearly worldwide. However, in the urban canyons of dense cities, buildings block and reflect the signals, causing multipath errors. To mitigate multipath errors, knowledge of the distribution of the reflection delays is important. Measurements of this distribution have been done in several dense cities, but it is unknown how the delay distribution depends on the depth of the urban canyon. To fill this gap, we simulated reflection scenarios in 12 different environments: from suburban to deep urban canyon. Subsequently, we analyzed the resulting delay distributions. This paper presents these distributions, and a method to estimate them using the number of received satellites. According to our simulation, the multipath delays follow gamma distributions, whose shape parameters decrease when the urban canyon depth increases. A…
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