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

Other

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

Fingerprint

Wi-Fi
Zigbee
Bluetooth
Costs
Personnel
Hardware

ASJC Scopus subject areas

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

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] 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; Chen, Ling-Jyh.

2016 13th IEEE Annual Consumer Communications and Networking Conference, CCNC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 862-867 7444902.

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

Carvalho, R, Yang, SH, Ho, YH & Chen, L-J 2016, Indoor localization using FM and DVB-T signals. in 2016 13th IEEE Annual Consumer Communications and Networking Conference, CCNC 2016., 7444902, Institute of Electrical and Electronics Engineers Inc., pp. 862-867, 13th IEEE Annual Consumer Communications and Networking Conference, CCNC 2016, Las Vegas, United States, 16/1/6. https://doi.org/10.1109/CCNC.2016.7444902
Carvalho R, Yang SH, Ho YH, Chen L-J. 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 https://doi.org/10.1109/CCNC.2016.7444902
Carvalho, Roberto ; Yang, Shan Ho ; Ho, Yao Hua ; Chen, Ling-Jyh. / Indoor localization using FM and DVB-T signals. 2016 13th IEEE Annual Consumer Communications and Networking Conference, CCNC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 862-867
@inproceedings{d2c6ec5817fa4198b5c744243cab9b49,
title = "Indoor localization using FM and DVB-T signals",
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.",
author = "Roberto Carvalho and Yang, {Shan Ho} and Ho, {Yao Hua} and Ling-Jyh Chen",
year = "2016",
month = "3",
day = "30",
doi = "10.1109/CCNC.2016.7444902",
language = "English",
pages = "862--867",
booktitle = "2016 13th IEEE Annual Consumer Communications and Networking Conference, CCNC 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - Indoor localization using FM and DVB-T signals

AU - Carvalho, Roberto

AU - Yang, Shan Ho

AU - Ho, Yao Hua

AU - Chen, Ling-Jyh

PY - 2016/3/30

Y1 - 2016/3/30

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84966676793&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84966676793&partnerID=8YFLogxK

U2 - 10.1109/CCNC.2016.7444902

DO - 10.1109/CCNC.2016.7444902

M3 - Conference contribution

AN - SCOPUS:84966676793

SP - 862

EP - 867

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

PB - Institute of Electrical and Electronics Engineers Inc.

ER -