融合建筑信息模型的基站自标定技术

doi:10.13190/j.jbupt.2020-152

北京邮电大学学报 ›› 2021, Vol. 44 ›› Issue (3): 61-66.doi: 10.13190/j.jbupt.2020-152

融合建筑信息模型的基站自标定技术

王宇威¹, 王晓轩¹, 沈婕², 王智¹

1. 浙江大学控制科学与工程学院, 杭州 310027;
2. 南京师范大学地理科学学院, 南京 210023

收稿日期:2020-08-29 出版日期:2021-06-28 发布日期:2021-06-23
通讯作者: 王智(1969-),男,副教授,博士生导师,E-mail:zjuwangzhi@zju.edu.cn. E-mail:zjuwangzhi@zju.edu.cn
作者简介:王宇威(1997-),男,博士生.
基金资助:
国家重点研发计划项目（2017YFE0101300）；国家自然科学基金项目（61773344，61273079）；浙江省自然科学基金项目（LZ19F010003）；中央高校基本科研业务费专项项目（K20210001，浙江大学NGICS大平台）

The Beacons Self-Calibration Technology Combined with Building Information Modeling

WANG Yu-wei¹, WANG Xiao-xuan¹, SHEN Jie², WANG Zhi¹

1. College of Control Science and Engineering, Zhejiang University, Hangzhou 310027, China;
2. School of Geography, Nanjing Normal University, Nanjing 210023, China

Received:2020-08-29 Online:2021-06-28 Published:2021-06-23

摘要/Abstract

摘要： 由于建筑材料的遮挡和吸收，室内的无线信号严重受损，致使全球卫星导航系统在室内场景中效果并不理想，因此基于基站的室内定位技术成为关键，其定位性能与基站标定精度关系密切.基于基站通常布置在建筑体墙面上的事实，提出了一种融合建筑信息模型的基站自标定技术，用于提升自标定性能，同时，使用克拉美罗下界进行理论性能分析.所提技术在半定规划算法中融入了建筑信息模型空间约束.克拉美罗下界分析和算法仿真实验结果表明，融入建筑信息模型中的空间约束有效地提升了基站自标定的精度.

关键词: 室内定位, 位置信息服务, 自标定, 建筑信息模型, 克拉美罗下界

Abstract: The global navigation satellite system does not work ideally, because the satellite signal decays rapidly indoors due to the occlusion and absorption of building materials. As a result, the localization technologies based on beacons become state-of-art indoor localization technologies. The accuracy of these localization technologies is tightly related to the beacons' calibration accuracy. Based on the fact that beacons are usually set on the walls, a beacons self-calibration technology based on building information modeling is proposed to improve the performance of self-calibration. In the meantime, Cramer-Rao lower bound (CRLB) is used to analyse its performance in theory. Based on the semidefinite programming self-calibration algorithm, the proposed algorithm considers to use the building information modeling. CRLB analysis and simulation shows the proposed algorithm efficiently improve the accuracy of self-calibration.

Key words: indoor localization, location-based services, self-calibration, building information modeling, Cramer-Rao lower bound

中图分类号:

P208

王宇威, 王晓轩, 沈婕, 王智. 融合建筑信息模型的基站自标定技术[J]. 北京邮电大学学报, 2021, 44(3): 61-66.

WANG Yu-wei, WANG Xiao-xuan, SHEN Jie, WANG Zhi. The Beacons Self-Calibration Technology Combined with Building Information Modeling[J]. Journal of Beijing University of Posts and Telecommunications, 2021, 44(3): 61-66.

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融合建筑信息模型的基站自标定技术

The Beacons Self-Calibration Technology Combined with Building Information Modeling

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