[1]石高涛,王伯远,吴斌.基于 WiFi与移动智能终端的室内定位方法综述[J].计算机工程,2015,41(9):39-44,50.
[2]SEN S,CHOUDHURY R R,RADUNOVIC B,et al.Precise indoor localization using PHY layer information[C]//Proceedings of International Conference on Mobile Systems,Applications,and Services.Berlin,Germany:Springer,2011:1-6.
[3]杨铮,吴陈沭,刘云浩.位置计算:无线网络定位与可定位性[M].北京:清华大学出版社,2014.
[4]QIAN Kun,WU Chenshu,YANG Zheng,et al.Decimeter level passive tracking with WiFi[C]//Proceedings of the 3rd Workshop on Hot Topics in Wireless.New York,USA:ACM Press,2016:44-48.
[5]彭玉旭,杨艳红.一种基于 RSSI 的贝叶斯室内定位算法[J].计算机工程,2012,38(10):237-240.
[6]王琦.基于 RSSI 测距的室内定位技术[J].电子科技,2012,25(6):64-66.
[7]石欣,印爱民,陈曦.基于 RSSI 的多维标度室内定位算法[J].仪器仪表学报,2014,35(2):261-268.
[8]张勇,黄杰,徐科宇.基于 PCA-LSSVR 算法的 WLAN 室内定位方法[J].仪器仪表学报,2015,36(2):408-414.
[9]WANG Xuyu,GAO Lingjun,MAO Shiwen,et al.CSI-based fingerprinting for indoor localization:a deep learning approach[J].IEEE Transactions on Vehicular Technology,2017,66(1):763-776.
[10]XIAO Jiang,WU Kaishun,YI Youwen,et al.FIFS:fine-grained indoor fingerprinting system[C]//Proceedings of International Conference on Computer Communications and Networks.Washington D.C.,USA:IEEE Press,2012:1-7.
[11]WU Zhefu,XU Qiang,LI Jianan,et al.Passive indoor localization based on CSI and naive bayes classification[EB/OL].[2017-04-27].http://xuanqi-net.com/Papers/SMC2017.pdf.
[12]吴哲夫,周言.基于信道状态信息的无源被动定位[J].传感技术学报,2015(5):677-683.
[13]SHI Shuyu,SIGG S,JI Yusheng.Probabilistic fingerprinting based passive device-free localization from channel state information[C]//Proceedings of the 83rd Vehicular Technology Conference.Washington D.C.,USA:IEEE Press,2016:1-5.
[14]YANG Zheng,ZHOU Zimu,LIU Yunhao.From RSSI to CSI:indoor localization via channel response[J].ACM Computing Surveys,2013,46(2):1-32.
[15]XIAO Jiang,WU Kaishun,YI Youwen,et al.Pilot:passive device-free indoor localization using channel state information[C]//Proceedings of the 33rd International Conference on Distributed Computing Systems.Washington D.C.,USA:IEEE Press,2013:236-245.
[16]FANG S H,LIN T.Principal component localization in indoor WLAN environments[J].IEEE Transactions on Mobile Computing,2012,11(1):100-110.
[17]LUO X,O’BRIEN W J,JULIEN C L.Comparative evaluation of received signal-strength index based indoor localization techniques for construction jobsites[J].Advanced Engineering Informatics,2011,25(2):355-363.
[18]KOTSIANTIS S B.Supervised machine learning:a review of classification techniques[J].Informatica,2007,31(3):249-268.
[19]WANG Xuyu,GAO Lingjun,MAO Shiwen.BiLoc:bi-modal deep learning for indoor localization with commodity 5 GHz WiFi[J].IEEE Access,2017,5:4209-4220.
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