陈永森, 柳景斌, 雷杰涛, 龚晓东, 黄格格. GNSS/气压计融合的室内外高程估计及室内楼层识别方法[J]. 武汉大学学报 ( 信息科学版). DOI: 10.13203/j.whugis20230299
引用本文: 陈永森, 柳景斌, 雷杰涛, 龚晓东, 黄格格. GNSS/气压计融合的室内外高程估计及室内楼层识别方法[J]. 武汉大学学报 ( 信息科学版). DOI: 10.13203/j.whugis20230299
CHEN Yongsen, LIU Jingbin, LEI Jietao, GONG Xiaodong, HUANG Gege. A Study of GNSS/Barometer Integrated Elevation Estimation and Floor Identification[J]. Geomatics and Information Science of Wuhan University. DOI: 10.13203/j.whugis20230299
Citation: CHEN Yongsen, LIU Jingbin, LEI Jietao, GONG Xiaodong, HUANG Gege. A Study of GNSS/Barometer Integrated Elevation Estimation and Floor Identification[J]. Geomatics and Information Science of Wuhan University. DOI: 10.13203/j.whugis20230299

GNSS/气压计融合的室内外高程估计及室内楼层识别方法

A Study of GNSS/Barometer Integrated Elevation Estimation and Floor Identification

  • 摘要: 精确可靠的高程信息对应急救援人员安全和无人机等应用具有重要价值。全球卫星导航系统(globalnavigation satellite system, GNSS)在森林、城市峡谷等信号遮挡环境下高程定位结果不可靠,在室内或地下等封闭空间甚至无法定位。本文针对 GNSS高程方向定位结果受环境影响定位精度低以及在封闭空间高程信息不连续的问题,融合 GNSS与气压计两种不依赖地面局部基础设施的传感器,采用抗差卡尔曼滤波实现室内外空间连续高程估计并识别楼层。本文实验表明, GNSS/气压计融合可实现室内外空间高程连续估计,高程估计精度可达亚米级,在楼层平均高度 4.2米条件下基于室内外连续高程信息的楼层识别精度可达 100%,楼层间高差估计平均误差为 0.504米。本文提出的 GNSS/气压计融合方法可实现室内外空间连续无缝高程定位,鲁棒性较强,可满足部分位置服务对高程信息的需求。

     

    Abstract: Objectives: Accurate and reliable elevation information is of great value to emergency personnel safety and UAV applications. The global navigation satellite system (GNSS) is not reliable in the environment where signals are blocked, such as forests and urban canyons, and even cannot be located in indoor or underground spaces. Method: To resolve the problems of low elevation positioning accuracy of GNSS and discontinuous elevation information in indoor space, this paper integrates two kinds of sensors, GNSS and barometer, which do not depend on local ground infrastructure, and adopts robust Kalman Filter to realize continuous elevation estimation and floor identification in indoor and outdoor space. Result: The experiment shows that the GNSS/ barometer fusion can realize the continuous estimation of indoor and outdoor space elevation, the accuracy of elevation estimation can reach sub-meter level, the accuracy of floor identification can reach 100%, and the estimation error of height difference between floors is 0.504 meter. Conclusion: The GNSS/barometer fusion method proposed in this paper can realize continuous elevation positioning in indoor and outdoor space with strong robustness, it may meet the requirements of some location services for elevation information.

     

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