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Indoor localization based on subcarrier parameter estimation of LoS with wi-fi

Published: 03 February 2020 Publication History

Abstract

With the wide application of MIMO-OFDM technology, Channel State Information (CSI) as a fine-grained feature can be extracted from PHY layer with Wi-Fi. Although CSI has a better performance on expressing the spatial and temporal features of wireless signal, it is more sensitive to the multipath reflection. As a result, Line-of-Sight (LoS) identification and corresponding subcarrier parameter estimation play an important role in improving positioning accuracy. In this paper, we propose a complete parameter processing framework, which involves phase calibration, phase ambiguity elimination, subcarrier parameter (amplitude and phase) estimation of LoS, fingerprint feature extraction and relationship mapping from fingerprint feature to position estimate. The experimental results show that, compared with existing algorithm, our proposed algorithm improves the positioning accuracy by 2.3% in LoS and 10.7% in NLoS cases.

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    MobiQuitous '19: Proceedings of the 16th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services
    November 2019
    545 pages
    ISBN:9781450372831
    DOI:10.1145/3360774
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    New York, NY, United States

    Publication History

    Published: 03 February 2020

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    Author Tags

    1. channel state information
    2. indoor localization
    3. parameter estimation

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    • Research-article

    Funding Sources

    • National Natural Science Foundation of China
    • National Key Research and Development Program of China-the Key Technologies for High Security Mobile Terminals

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    MobiQuitous
    MobiQuitous: Computing, Networking and Services
    November 12 - 14, 2019
    Texas, Houston, USA

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    Overall Acceptance Rate 26 of 87 submissions, 30%

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