Indoor localization using FM and DVB-T signals

Roberto Carvalho, Shan Ho Yang, Yao Hua Ho, Ling Jyh Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Indoor localization systems aim to accurately and cost-effectively locate targets. While numerous indoor localization solutions based on Wi-Fi, Bluetooth, ZigBee and other technologies have been proposed, they fail to achieve satisfactory performance. The accuracy of these solutions is often affected by obstacles such as shelf, human etc; due to the hight frequency of the signals, which weaken the ability of signals to penetrate obstacles. Moreover, high accuracy comes at the expense of more hardware, labor-expensive deployment. To overcome these limitations, we propose an indoor localization system based on Software Defined Radio (SDR), using FM and DVB-T signals. Our system achieves sub-meter accuracy at low cost with low site survey overhead. Additionally, we investigate the temporal and window effect on different sizes of training data.

Original languageEnglish
Title of host publication2016 13th IEEE Annual Consumer Communications and Networking Conference, CCNC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages862-867
Number of pages6
ISBN (Electronic)9781467392921
DOIs
Publication statusPublished - 2016 Mar 30
Event13th IEEE Annual Consumer Communications and Networking Conference, CCNC 2016 - Las Vegas, United States
Duration: 2016 Jan 62016 Jan 13

Publication series

Name2016 13th IEEE Annual Consumer Communications and Networking Conference, CCNC 2016

Other

Other13th IEEE Annual Consumer Communications and Networking Conference, CCNC 2016
CountryUnited States
CityLas Vegas
Period16/1/616/1/13

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Networks and Communications
  • Hardware and Architecture

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  • Cite this

    Carvalho, R., Yang, S. H., Ho, Y. H., & Chen, L. J. (2016). Indoor localization using FM and DVB-T signals. In 2016 13th IEEE Annual Consumer Communications and Networking Conference, CCNC 2016 (pp. 862-867). [7444902] (2016 13th IEEE Annual Consumer Communications and Networking Conference, CCNC 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCNC.2016.7444902