GPS Error Correction With Pseudorange Evaluation Using Three-Dimensional Maps


The accuracy of the positions of a pedestrian is terribly necessary and helpful info for the statistics, advertisement, and safety of various applications. Though the GPS chip during a smartphone is currently the most convenient device to get the positions, it still suffers from the result of multipath and nonline-of-sight propagation in urban canyons. These reflections may greatly degrade the performance of a GPS receiver. This paper describes an approach to estimate a pedestrian position by the aid of a 3-D map and a ray-tracing method. The proposed approach first distributes the numbers of position candidates around a reference position. The weighting of the position candidates is evaluated based mostly on the similarity between the simulated pseudorange and the observed pseudorange. Simulated pseudoranges are calculated using a ray-tracing simulation and a three-D map. Finally, the proposed method was verified through field experiments in an urban canyon in Tokyo. In line with the results, the proposed approach successfully estimates the reflection and direct paths so that the estimate appears very shut to the bottom truth, whereas the results of a commercial GPS receiver is way from the ground truth. The results show that the proposed methodology incorporates a smaller error distance than the standard method.

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