Abstract—The accuracy of the positions of a pedestrian is veryimportant and useful information for the statistics, advertisement,and safety of different applications. Although the GPS chip ina smartphone is currently the most convenient device to obtainthe positions, it still suffers from the effect of multipath andnonline-of-sight propagation in urban canyons. These reflectionscould greatly degrade the performance of a GPS receiver. Thispaper describes an approach to estimate a pedestrian position bythe aid of a 3-D map and a ray-tracing method. The proposed approachfirst distributes the numbers of position candidates arounda reference position. The weighting of the position candidates isevaluated based on the similarity between the simulated pseudorangeand the observed pseudorange. Simulated pseudoranges arecalculated using a ray-tracing simulation and a 3-D map. Finally,the proposed method was verified through field experiments in anurban canyon in Tokyo. According to the results, the proposedapproach successfully estimates the reflection and direct paths sothat the estimate appears very close to the ground truth, whereasthe result of a commercial GPS receiver is far from the groundtruth. The results show that the proposed method has a smallererror distance than the conventional method.
Abstract—The accuracy of the positions of a pedestrian is very<br>important and useful information for the statistics, advertisement,<br>and safety of different applications. Although the GPS chip in<br>a smartphone is currently the most convenient device to obtain<br>the positions, it still suffers from the effect of multipath and<br>nonline-of-sight propagation in urban canyons. These reflections<br>could greatly degrade the performance of a GPS receiver. This<br>paper describes an approach to estimate a pedestrian position by<br>the aid of a 3-D map and a ray-tracing method. The proposed approach<br>first distributes the numbers of position candidates around<br>a reference position. The weighting of the position candidates is<br>evaluated based on the similarity between the simulated pseudorange<br>and the observed pseudorange. Simulated pseudoranges are<br>calculated using a ray-tracing simulation and a 3-D map. Finally,<br>the proposed method was verified through field experiments in an<br>urban canyon in Tokyo. According to the results, the proposed<br>approach successfully estimates the reflection and direct paths so<br>that the estimate appears very close to the ground truth, whereas<br>the result of a commercial GPS receiver is far from the ground<br>truth. The results show that the proposed method has a smaller<br>error distance than the conventional method.
正在翻譯中..

Abstract—The accuracy of the positions of a pedestrian is very<br>important and useful information for the statistics, advertisement,<br>and safety of different applications. Although the GPS chip in<br>a smartphone is currently the most convenient device to obtain<br>the positions, it still suffers from the effect of multipath and<br>nonline-of-sight propagation in urban canyons. These reflections<br>could greatly degrade the performance of a GPS receiver. This<br>paper describes an approach to estimate a pedestrian position by<br>the aid of a 3-D map and a ray-tracing method. The proposed approach<br>first distributes the numbers of position candidates around<br>a reference position. The weighting of the position candidates is<br>evaluated based on the similarity between the simulated pseudorange<br>and the observed pseudorange. Simulated pseudoranges are<br>calculated using a ray-tracing simulation and a 3-D map. Finally,<br>the proposed method was verified through field experiments in an<br>urban canyon in Tokyo. According to the results, the proposed<br>approach successfully estimates the reflection and direct paths so<br>that the estimate appears very close to the ground truth, whereas<br>the result of a commercial GPS receiver is far from the ground<br>truth. The results show that the proposed method has a smaller<br>error distance than the conventional method.
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