利用智能手机GNSS信噪比反演三维地图的方法

doi:10.13474/j.cnki.11-2246.2022.0324

测绘通报 ›› 2022, Vol. 0 ›› Issue (11): 49-56.doi: 10.13474/j.cnki.11-2246.2022.0324

利用智能手机GNSS信噪比反演三维地图的方法

姜新伟¹, 王式太^1,2, 杨诗妮¹, 殷敏^1,2, 周国清^1,2, 张博宇¹, 马岳¹

1. 桂林理工大学测绘地理信息学院, 广西桂林 541006;
2. 广西空间信息与测绘重点实验室, 广西桂林 541006

收稿日期:2021-11-24 发布日期:2022-12-08
通讯作者: 王式太,E-mail:2017084@glut.edu.cn
作者简介:姜新伟(1996-),男,硕士生,主要研究方向为GNSS信号处理。E-mail:1169273823@qq.com
基金资助:
国家自然科学基金(41961065);广西创新发展大项目(桂科AD19254002;桂科AA18118038;桂科AA18242048);广西自然科学基金(2018GXNSFAA281279);广西空间信息与测绘重点实验室基金(19-050-11-27);广西高校中青年教师科研基础能力提升项目(2022KY1163)

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

JIANG Xinwei¹, WANG Shitai^1,2, YANG Shini¹, YIN Min^1,2, ZHOU Guoqing^1,2, ZHANG Boyu¹, MA Yue¹

1. College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China;
2. Guangxi Key Laboratory of Spatial Information and Geomatics, Guilin 541006, China

Received:2021-11-24 Published:2022-12-08

摘要/Abstract

摘要： 本文利用智能手机GNSS信噪比观测值在建筑物周围的变化特征,分析其与建筑物对GNSS信号遮挡的关系,提出了一种二维概率地图的概率消减反演算法和建筑高度的邻近边界点体素化反演算法,进而采用大量观测数据反演三维地图,并对反演精度进行分析。试验结果表明,在5m栅格地图上,取高度角为5°以上卫星的GNSS信噪比数据,达9000历元时各项精度趋于稳定,超过12000历元时反演的建筑物中心坐标、建筑面积、角点点位及建筑高度综合效果最佳。其中心点位误差为1.16~1.74m,面积误差为1.12%~2.39%,角点误差绝对均值为5.00~5.30m,均方根误差为5.82~6m,建筑高度误差为0.04~2.1m,基本实现了利用智能移动终端GNSS信噪比数据反演三维地图的目标。

关键词: 智能手机, 信噪比, 概率消减, 边界体素化, 三维概率地图

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

中图分类号:

P228.4

姜新伟, 王式太, 杨诗妮, 殷敏, 周国清, 张博宇, 马岳. 利用智能手机GNSS信噪比反演三维地图的方法[J]. 测绘通报, 2022, 0(11): 49-56.

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.

参考文献

[1] GROVES P D,ADJRAD M. Likelihood-based GNSS positioning using LOS/NLOS predictions from 3D mapping and pseudoranges[J]. GPS Solutions,2017,21(4):1805-1816.
[2] ADJRAD M,GROVES P D. Enhancing least squares GNSS positioning with 3D mapping without accurate prior knowledge[J]. Navigation,2017,64(1):75-91.
[3] ADJRAD M,GROVES P D. Intelligent urban positioning:integration of shadow matching with 3D-mapping-aided GNSS ranging[J]. Journal of Navigation,2018,71(1):1-20.
[4] KO H,KIM B,KONG S H. GNSS multipath-resistant cooperative navigation in urban vehicular networks[J]. IEEE Transactions on Vehicular Technology,2015,64(12):5450-5463.
[5] ADJRAD M,GROVES P. 3D-mapping-aided GNSS exploiting Galileo for better accuracy in dense urban environments[C]//Proceedings of 2017 European Navigation Conference.Lausanne,Switzerland:IEEE,2017:108-118.
[6] ESRAFILIAN O,GESBERT D.3D city map reconstruction from UAV-based radio measurements[C]//Proceedings of 2017 IEEE Global Communications Conference.Singapore:IEEE,2017:1-6.
[7] CHEN Yuwei,ZHU Lingli,TANG Jian,et al. Feasibility study of using mobile laser scanning point cloud data for GNSS line of sight analysis[J]. Mobile Information Systems,2017:5407605.
[8] WEISSMAN A,BEN-MOSHE B,LEVI H,et al. 2.5D mapping using GNSS signal analysis[C]//Proceedings of Positioning,Navigation and Communication.Germany:IEEE,2013:1-6.
[9] ISAACS J T,IRISH A T,QUITIN F,et al. Bayesian localization and mapping using GNSS SNR measurements[C]//Proceedings of Position,Location and Navigation Symposium-PLANS 2014. Monterey,CA,USA:IEEE,2014:445-451.
[10] IRISH A T,ISAACS J T,QUITIN F,et al. Belief propagation based localization and mapping using sparsely sampled GNSS SNR measurements[C]//Proceedings of 2014 IEEE International Conference on Robotics and Automation. Hong Kong,China:IEEE,2014:1977-1982.
[11] IRISH A T,ISAACS J T,QUITIN F,et al. Probabilistic 3D mapping based on GNSS SNR measurements[C]//Proceedings of 2014 IEEE International Conference on Acoustics,Speech and Signal Processing. Florence,Italy:IEEE,2014:2390-2394.
[12] SWINFORD R P. Building on-the-fly world models for pervasive gaming and other Ubicomp applications using GPS availability data[C]//Proceedings of IEEE Seminar on Intelligent Building Environments. Colchester,UK:IEEE,2005.
[13] KIM K,SUMMET J,STARNER T,et al. Localization and 3D reconstruction of urban scenes using GPS[C]//Proceedings of the 12th IEEE International Symposium on Wearable Computers. Pittsburgh,PA,USA:IEEE,2008:11-14.
[14] 高超群,杨东凯,等. 基于GNSS的目标阴影区参数反演方法研究[C]//中国卫星导航学术年会.南京:中国卫星导航学术年会组委会,2017.
[15] GAO Han,GROVES P. Context detection for advanced self-aware navigation using smartphone sensors[M].Brighton:International Navigation Conference,2017.
[16] 赵硕,秘金钟,徐彦田,等.双频智能手机GNSS数据质量及定位精度分析[J].测绘科学,2020,45(2):22-28.
[17] 王式太,杨诗妮,李雪珍. 单双频智能手机GNSS定位精度分析[J]. 测绘通报,2021(1):18-23.

利用智能手机GNSS信噪比反演三维地图的方法

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

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