Indoor localization using FM and DVB-T signals

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

doi:10.1109/CCNC.2016.7444902

Indoor localization using FM and DVB-T signals

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

Department of Computer Science and Information Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 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 language	English
Title of host publication	2016 13th IEEE Annual Consumer Communications and Networking Conference, CCNC 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	862-867
Number of pages	6
ISBN (Electronic)	9781467392921
DOIs	https://doi.org/10.1109/CCNC.2016.7444902
Publication status	Published - 2016 Mar 30
Event	13th IEEE Annual Consumer Communications and Networking Conference, CCNC 2016 - Las Vegas, United States Duration: 2016 Jan 6 → 2016 Jan 13

Publication series

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

Other

Other	13th IEEE Annual Consumer Communications and Networking Conference, CCNC 2016
Country/Territory	United States
City	Las Vegas
Period	2016/01/06 → 2016/01/13

ASJC Scopus subject areas

Computer Science Applications
Computer Networks and Communications
Hardware and Architecture

Access to Document

10.1109/CCNC.2016.7444902

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). Article 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

Indoor localization using FM and DVB-T signals. / Carvalho, Roberto; Yang, Shan Ho; Ho, Yao Hua et al.
2016 13th IEEE Annual Consumer Communications and Networking Conference, CCNC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 862-867 7444902 (2016 13th IEEE Annual Consumer Communications and Networking Conference, CCNC 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Carvalho, R, Yang, SH, Ho, YH & Chen, LJ 2016, Indoor localization using FM and DVB-T signals. in 2016 13th IEEE Annual Consumer Communications and Networking Conference, CCNC 2016., 7444902, 2016 13th IEEE Annual Consumer Communications and Networking Conference, CCNC 2016, Institute of Electrical and Electronics Engineers Inc., pp. 862-867, 13th IEEE Annual Consumer Communications and Networking Conference, CCNC 2016, Las Vegas, United States, 2016/01/06. https://doi.org/10.1109/CCNC.2016.7444902

Carvalho R, Yang SH, Ho YH , Chen LJ. Indoor localization using FM and DVB-T signals. In 2016 13th IEEE Annual Consumer Communications and Networking Conference, CCNC 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 862-867. 7444902. (2016 13th IEEE Annual Consumer Communications and Networking Conference, CCNC 2016). doi: 10.1109/CCNC.2016.7444902

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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.",

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Indoor localization using FM and DVB-T signals

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