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, Kan
作者机构:[Zhang, Wei ;Liu, Kan ;Zhang, Weidong ;Zhang, Youmei ] School of Control Science and Engineering, Shandong University, Jinan, China;[Gu, Jason ] Depar 更多
会议名称:2014 IEEE International Conference on Information and Automation, ICIA 2014
会议日期:28 July 2014 through 30 July 2014
来源:2014 IEEE International Conference on Information and Automation, ICIA 2014
出版年:2014
页码:1176-1179
DOI:10.1109/ICInfA.2014.6932827
关键词:deep learning (DL); deep neural network (DNN); hidden Markov model (HMM); Wi-Fi positioning
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. © 2014 IEEE.
收录类别:EI;SCOPUS
Scopus被引频次:5
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84914181270&doi=10.1109%2fICInfA.2014.6932827&partnerID=40&md5=0dc8a564beb7984a8e0d5c4b22105fe4
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