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Volume 36 Issue 12
Jan.  2015
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Huanlin LIU, Fei FANG, Jun HUANG, Yong CHEN, Min XIANG, Yue MA. Energy Efficiency Routing Strategy with Lightpath Impairment Awareness in Service-Oriented Elastic Optical Networks[J]. Journal of Electronics & Information Technology, 2019, 41(5): 1202-1209. doi: 10.11999/JEIT180580
Citation: He Jian, Wan Zhi-Jiang, Liu Jin-Wei. Indoor Positioning Technology Based on Powerline and Location Fingerprint[J]. Journal of Electronics & Information Technology, 2014, 36(12): 2902-2908. doi: 10.3724/SP.J.1146.2013.02022

Indoor Positioning Technology Based on Powerline and Location Fingerprint

doi: 10.3724/SP.J.1146.2013.02022
  • Received Date: 2013-12-25
  • Rev Recd Date: 2014-04-15
  • Publish Date: 2014-12-19
  • The power line being indispensable under indoor environment is firstly introduced to be as the antenna, which wideband high-frequency signals are injected into it to obtain the location fingerprint so as to achieve precise indoor positioning. Firstly, the realization technology about the injection of the wideband high-frequency signal analysis is proposed, and the construction method of the indoor location fingerprint is deeply described. Meanwhile, the indoor positioning technology based on the naive Bias classification algorithm is discussed at detail. Finally, the experimental analysis shows that the positioning technology based on naive Bayes classification algorithm has higher positioning accuracy and better adaptive ability of time migration than the positioning technology based on K-Nearest Neighbor (KNN) classification algorithm, in the case of multiple training samples.
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      沈阳化工大学材料科学与工程学院 沈阳 110142

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