A Novel Convolutional Neural Network Based Indoor Localization Framework With WiFi Fingerprinting

• Published in: IEEE access Vol. 7; pp. 110698 - 110709
• Main Authors: Song, Xudong, Fan, Xiaochen, Xiang, Chaocan, Ye, Qianwen, Liu, Leyu, Wang, Zumin, He, Xiangjian, Yang, Ning, Fang, Gengfa
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2019; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Artificial neural networks; Buildings; Coders; convolutional neural network; Convolutional neural networks; Datasets; deep learning; Electronic devices; Feature extraction; Fingerprint recognition; Fingerprinting; Fingerprints; Floors; Indoor localization; Localization; Location based services; Model testing; Neural networks; Signal strength; Training; WiFi fingerprinting; Wireless communication; Wireless fidelity

With the ubiquitous deployment of wireless systems and pervasive availability of smart devices, indoor localization is empowering numerous location-based services. With the established radio maps, WiFi fingerprinting has become one of the most practical approaches to localize mobile users. However,...