标题:Wi-Fi Positioning Based on Deep Learning
作者:Zhang, Wei; Liu, Kan; Zhang, Weidong; Zhang, Youmei; Gu, Jason
通讯作者:Liu, K
作者机构:[Zhang, Wei; Liu, Kan; Zhang, Weidong; Zhang, Youmei] Shandong Univ, Sch Control Sci & Engn, Jinan 250100, Peoples R China.; [Gu, Jason] Dalhousie U 更多
会议名称:IEEE International Conference on Information and Automation (ICIA)
会议日期:JUL 28-30, 2014
来源:2014 IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION (ICIA)
出版年:2014
页码:1176-1179
关键词:Wi-Fi positioning; deep neural network (DNN); hidden Markov model (HMM);; deep learning (DL)
摘要:In this paper, we propose a Wi-Fi positioning method based on Deep Learning (DL). To deal with the variant and unpredictable wireless signals, the positioning is casted in a four-layer Deep Neural Network (DNN) structure that is capable of learning reliable features from a large set of noisy samples and avoids the need for hand-engineering. Also, to maintain the temporal coherence, a Hidden Markov Model (HMM) based fine localizer is introduced to smooth the positioning result obtained from the immediate estimation of DNN-based coarse localizer. The data required for the experiments is collected from the real world in different periods to meet the actual environment. Experimental results indicate that the proposed system leads to substantial improvement on localization accuracy in case of the turbulent wireless signals.
收录类别:CPCI-S
WOS核心被引频次:4
资源类型:会议论文
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