Indoor Positioning Using WiFi Fingerprint

R. Joseph, Swapna Sasi
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引用次数: 14

Abstract

Indoor Positioning System helps to locate, monitor and track the devices using the radio signals. This can be used to find the people who are trapped inside a building. Outdoor localization problems can be solved by using Global Positioning System (GPS). Since GPS signals are lost inside the buildings, Indoor Positioning still remains a problem. This paper provides a technique for indoor positioning by using WiFi fingerprint. The intensity of the received signal is measured and is stored in a database. The database consists of the list of signal strength and their corresponding locations. The similarity of the signal detected and those stored in the database can used to detect the position of the user. The prevailing WiFi infrastructure can be used for this purpose. We use deep neural network with stacked autoencoders to determine the floor and building. The classifier is used to detect the building and the floor level .
使用WiFi指纹进行室内定位
室内定位系统帮助定位,监控和跟踪设备使用的无线电信号。这可以用来寻找被困在建筑物内的人。利用全球定位系统(GPS)可以解决户外定位问题。由于GPS信号在建筑物内会丢失,因此室内定位仍然是一个问题。本文提出了一种利用WiFi指纹进行室内定位的技术。接收信号的强度被测量并存储在数据库中。该数据库由信号强度列表及其相应位置组成。检测到的信号与存储在数据库中的信号的相似性可以用来检测用户的位置。目前流行的WiFi基础设施可用于此目的。我们使用带有堆叠自编码器的深度神经网络来确定楼层和建筑。该分类器用于检测建筑物和楼层水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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