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

作　　者：王宇威 王晓轩 沈婕[2] 王智[1] WANG Yu-wei;WANG Xiao-xuan;SHEN Jie;WANG Zhi(College of Control Science and Engineering,Zhejiang University,Hangzhou 310027,China;School of Geography,Nanjing Normal University,Nanjing 210023,China)

机构地区：[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

出　　处：《北京邮电大学学报》2021年第3期61-66,共6页Journal of Beijing University of Posts and Telecommunications

基　　金：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)。

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.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 selfcalibration 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.

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 

分 类 号：P208[天文地球—地图制图学与地理信息工程]