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基于手机内置传感器的相对高程模型

Relative elevation model based on smartphone internal sensors
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摘要 高程是室内定位的关键要素之一,常见的高程测量方法,诸如三角高程测量、水准测量等并不适用于基于智能手机的大众定位;而全球导航卫星系统(GNSS)高程测量误差大,特别是在室内复杂场景中,GNSS定位可能无法使用。基于此,本文结合智能手机微机电系统(MEMS)传感器观测值,研究温度、气压等要素与相对高程的关系算法,对比分析不同算法的高程测量精度。实验结果显示,在静态条件下,温度气压算法的精度比气压算法三和气压算法四提高了65%。在动态条件下,由于振动因子的增加,气压算法四的精度比气压算法一提高了44%。以上结果表明,算法精度与温度呈负相关,与气压呈正相关。 Elevation is one of the key elements of indoor positioning,and common elevation measurement methods,such as triangular elevation measurement and leveling,are not applicable to smartphone-based mass positioning.However,global navigation satellite system(GNSS)elevation measurement has a large error,and GNSS positioning may not be available,especially in indoor complex scenes.Based on this,this paper combines smartphone micro-electro mechanical system(MEMS)sensor observations to study the relationship algorithms of temperature,air pressure,and other elements with relative elevation and comparatively analyzes the elevation measurement accuracy of different algorithms.The experimental results show that under static conditions,the accuracy of the temperature-barometric pressure algorithm is 65%higher than that of the barometric pressure algorithm III and barometric pressure algorithm IV.Under dynamic conditions,the accuracy of barometric algorithm IV is 44%higher than that of barometric algorithm I due to the increase in vibration factor.The above results show that the accuracy of the algorithms is negatively correlated with temperature and positively correlated with barometric pressure.
作者 邱树素 顾桢 章怿钦 叶俊华 QIU Shusu;GU Zhen;ZHANG Yiqin;YE Junhua(College of Environment and Resources,Zhejiang A&F University,Hangzhou Zhejiang 311300,China)
出处 《北京测绘》 2023年第12期1676-1682,共7页 Beijing Surveying and Mapping
基金 浙江省自然科学基金(LTGG23D040001) 浙江农林大学学校科研发展基金(W20210024)。
关键词 智能手机 微机电系统传感器 相对高程 温度气压 smartphone micro-electro mechanical system(MEMS)sensor relative elevation temperature barometric pressure
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