A method of 3D map inversion using smart phone GNSS signal-to-noise ratio

doi:10.13474/j.cnki.11-2246.2022.0324

Abstract

Abstract: Based on the variation characteristics of smart phone GNSS signal-to-noise ratio around buildings, this paper analyzes its relationship with the occlusion of buildings to GNSS signals, and puts forward a probability subtraction inversion algorithm of two-dimensional probability map and a voxelized inverse algorithm of adjacent boundary points of building height, and then studies the inversion of three-dimensional map using a large number of observation data. The inversion accuracy is analyzed. The experimental results show that on the 5m grid map, taking the GNSS signal-to-noise ratio data of satellites with an altitude angle of more than 5°, the accuracy tends to be stable when reaching 9000 epoch. The comprehensive effect of building center coordinates, building area, corner position and building height retrieved at 12000 epoch is the best. The center position error is 1.16~1.74m, the area error is 1.12%~2.39%, and the absolute mean value of corner error is 5.00~5.30m, the root mean square error is 5.82m and the building height error is 0.04~2.1m. The goal of 3D map inversion using GNSS signal-to-noise ratio data of intelligent mobile terminal is basically realized.

Key words: smart phone, signal-to-noise ratio, probability reduction, boundary voxelization, 3D probability map

CLC Number:

P228.4

JIANG Xinwei, WANG Shitai, YANG Shini, YIN Min, ZHOU Guoqing, ZHANG Boyu, MA Yue. A method of 3D map inversion using smart phone GNSS signal-to-noise ratio[J]. Bulletin of Surveying and Mapping, 2022, 0(11): 49-56.

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