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Using RF received phase for indoor tracking

Published: 28 June 2010 Publication History

Abstract

Today, RF based indoor node localization and tracking techniques predominantly rely on received signal strength (RSS), proximity information, or some sort of a priori mapping of the RF environment. However, due to nonideal RF propagation caused by effects such as reflection, refraction, scattering and multipath, as well as the dynamically changing environment, these solutions have limited accuracy. In this work, we investigate the feasibility of RF phase based tracking indoors. First, we present a fine-grained map of RF phase measurements taken in an office area: a harsh RF environment with windows, furniture and a steel door. Then, we present an approach to carry out one-dimensional tracking under such circumstances. Finally, we present preliminary experimental tracking results, with accuracy in the centimeter range, that justify the feasibility of the proposed technique.

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Cited By

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  • (2018)The Study on Indoor Localization for Manufacturing Execution System2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV)10.1109/ICARCV.2018.8581192(1863-1867)Online publication date: Nov-2018
  • (2015)Cosero, Find My Keys! Object Localization and Retrieval Using Bluetooth Low Energy TagsRoboCup 2014: Robot World Cup XVIII10.1007/978-3-319-18615-3_16(195-206)Online publication date: 12-May-2015
  • (2012)Localization privacyCryptography and Security10.5555/2184081.2184114(425-441)Online publication date: 1-Jan-2012
  • Show More Cited By

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cover image ACM Other conferences
HotEmNets '10: Proceedings of the 6th Workshop on Hot Topics in Embedded Networked Sensors
June 2010
89 pages
ISBN:9781450302654
DOI:10.1145/1978642
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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  • CITI: Cork Institute of Technology

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 June 2010

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Author Tags

  1. localization
  2. mobile networks
  3. tracking

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Cited By

View all
  • (2018)The Study on Indoor Localization for Manufacturing Execution System2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV)10.1109/ICARCV.2018.8581192(1863-1867)Online publication date: Nov-2018
  • (2015)Cosero, Find My Keys! Object Localization and Retrieval Using Bluetooth Low Energy TagsRoboCup 2014: Robot World Cup XVIII10.1007/978-3-319-18615-3_16(195-206)Online publication date: 12-May-2015
  • (2012)Localization privacyCryptography and Security10.5555/2184081.2184114(425-441)Online publication date: 1-Jan-2012
  • (2012)Localization PrivacyCryptography and Security: From Theory to Applications10.1007/978-3-642-28368-0_27(425-441)Online publication date: 2012
  • (2011)Mobile Sensor Navigation Using Rapid RF-Based Angle of Arrival LocalizationProceedings of the 2011 17th IEEE Real-Time and Embedded Technology and Applications Symposium10.1109/RTAS.2011.37(316-325)Online publication date: 11-Apr-2011
  • (2011)Ground displacement measurement by radio interferometric ranging for landslide early warning2011 IEEE International Instrumentation and Measurement Technology Conference10.1109/IMTC.2011.5944067(1-6)Online publication date: May-2011

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