LU Yan-lin, ZHANG Zhi-ming, DENG Jian-gang, et al. Barometer and WiFi-based fusion floor localization algorithm[J]. 2018, (9): 145-147+154. DOI: 10.13873/J.1000-9787(2018)09-0145-03.
气压计融合WiFi楼层定位算法
摘要
针对现代多楼层建筑的室内定位需求
提出一种气压计融合Wi Fi指纹定位方法:在Wi Fi楼层定位系统基础上
通过群智感知技术收集各楼层气压数据
构建气压计楼层定位模块;用气压计楼层定位填补Wi Fi信号覆盖盲区
并监测Wi Fi楼层定位结果误差
实时动态更新Wi Fi指纹数据库。实验结果表明:气压计楼层定位模块能保证90%以上准确率
能提高定位通用性
并维持Wi Fi楼层定位80%左右的准确率
降低系统后期维护成本。
Abstract
In order to meet the indoor positioning demand for multi-floor building
a barometer and Wi Fi-based fusion positioning method is proposed. On the basis of Wi Fi floor positioning system
by crowdsourcing sensing technology to collect data pressure of each floor to construct barometer floor localization module
and use barometer floor localization to fill Wi Fi signal coverage blind area and monitor Wi Fi floor localization error
dynamicly update of Wi Fi fingerprint database. The experimental results show that the barometer floor positioning module can ensure accuracy above 90 %
this technique can not only improve the universality of the positioning
and maintain the Wi Fi floor localization accuracy around 80 %