智能建筑中基于智能手机传感器的无基础设施室内导航

IF 1.2 Q4 TELECOMMUNICATIONS
A. Chehreghan, E. Saadatzadeh, R. Abbaspour
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引用次数: 0

摘要

摘要基于位置的服务(LBS)的主要要素之一是对智能建筑内用户位置信息的感知和了解。在这项研究中,提出了一种基于智能手机传感器的室内定位系统(IPS),用于在智能建筑中以短信和口袋携带模式跟踪人的位置。重力、陀螺仪和磁力计传感器的数据使用梯度下降算法(GDA)进行组合,以估计航向角。该系统在三条直线、复杂和矩形路径中实现。在Texting模式下,每个步骤的绝对航向误差的平均值(M)和标准差(SD)分别为(1.68°,1.97°)和(4.39°,5.22°)。分别采用基于加速度和角度的模型来估计Texting和Pocket模式下的步长。在Texting和Pocket模式下,距离的平均相对误差(MRE)分别为%4.8和%4.37。实验结果表明,在Texting和Pocket两种携带模式下,沿三条路径的最终位置的MRE分别从%3.75降低到%2.66和%7.02降低到%4.24。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Infrastructure-free indoor navigation based on smartphone sensors in smart buildings
ABSTRACT One of the main elements of location-based services (LBS) is the awareness and knowledge of the user’s location information inside the smart buildings. In this study, a smartphone sensor-based indoor positioning system (IPS) is proposed to track a person’s location in Texting and Pocket carrying modes in a smart building. The gravity, gyroscope, and magnetometer sensors data were combined using a gradient descent algorithm (GDA) to estimate the heading angle. This system was implemented in three straight, complex, and rectangular paths. The mean (M) and standard deviation (SD) of the absolute heading error of each step were obtained as (1.68°, 1.97°) in the Texting mode and (4.39°, 5.22°) in the Pocket mode, respectively. Acceleration and angle-based models were employed to estimate the step length in the Texting and Pocket modes, respectively. The mean relative error (MRE) of the distance in the Texting and Pocket modes were obtained as %4.8 and %4.37, respectively. Experimental results indicated the MRE of the final position along the three paths in the two carrying modes of Texting and Pocket by magnetic and proposed methods reduced from %3.75 to %2.66 and %7.02 to %4.24, respectively.
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来源期刊
CiteScore
3.70
自引率
8.70%
发文量
12
期刊介绍: The aim of this interdisciplinary and international journal is to provide a forum for the exchange of original ideas, techniques, designs and experiences in the rapidly growing field of location based services on networked mobile devices. It is intended to interest those who design, implement and deliver location based services in a wide range of contexts. Published research will span the field from location based computing and next-generation interfaces through telecom location architectures to business models and the social implications of this technology. The diversity of content echoes the extended nature of the chain of players required to make location based services a reality.
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