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Indoor tracking in WLAN location with TOA measurements

Published: 02 October 2006 Publication History

Abstract

Authors presented recently an indoor location technique based on Time Of Arrival (TOA) obtained from Round-Trip-Time (RTT) measurements at data link level and trilateration. This new approach uses the existing IEEE 802.11 WLAN infrastructure with minor changes to provide an accurate estimation of the position of static wireless terminals. This paper presents advances on how to incorporate tracking capabilities to this approach in order to achieve a noticeable enhancement in the positioning accuracy while maintaining the computational cost low, both essential requirements in some critical applications of indoor pedestrian navigation in which people carrying light mobile devices has to be tracked with precision. Taking as a basis the Discrete Kalman Filter, customizations and optimizations have been designed and presented. Results obtained after conducting extensive simulations fed with actual ranging observables demonstrate the validity and suitability of the researched algorithms and its ability to provide very high performance level in terms of accuracy and robustness.

References

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F. Izquierdo, M. Ciurana, F. Barceló, J. Paradells, E. Zola "Performance evaluation of a TOA-based trilateration method to locate terminals in WLAN". Proc. IEEE ISWPC 2006, pp. 217--222.
[2]
B. Long Le, K. Ahmed, H. Tsuji "Mobile Location Estimator with NLOS Mitigation Using Kalman Filtering" Mar 17-19 2003, IEEE WCNC New Orleans, USA, 2003
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N. J. Thomas, D. G. M. Cruickshank, D. I. Laurenson, "A robust Location Estimator Architecture with Biased Kalman Filtering of TOA Data for Wireless Systems" IEEE 6th Int. Symp. on Spread-Spectrum Tech & Appli NJIT, pp. 296--300, New Jersey, USA, Sept 6-8, 2000
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  • (2021)A DNN-based WiFi-RSSI Indoor Localization Method in IoTCommunications and Networking10.1007/978-3-030-67720-6_14(200-211)Online publication date: 2-Feb-2021
  • (2020)Performance, Accuracy and Generalization Capability of RFID Tags’ Constellation for Indoor LocalizationSensors10.3390/s2015410020:15(4100)Online publication date: 23-Jul-2020
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cover image ACM Conferences
MobiWac '06: Proceedings of the 4th ACM international workshop on Mobility management and wireless access
October 2006
206 pages
ISBN:159593488X
DOI:10.1145/1164783
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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 October 2006

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Author Tags

  1. IEEE 802.11
  2. Kalman
  3. TOA
  4. WLAN
  5. indoor
  6. navigation
  7. positioning
  8. time of arrival
  9. tracking

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MobiWac '06 Paper Acceptance Rate 18 of 60 submissions, 30%;
Overall Acceptance Rate 83 of 272 submissions, 31%

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  • (2022)A platform for power management based on indoor localization in smart buildings using long short‐term neural networksTransactions on Emerging Telecommunications Technologies10.1002/ett.386733:3Online publication date: 21-Mar-2022
  • (2021)A DNN-based WiFi-RSSI Indoor Localization Method in IoTCommunications and Networking10.1007/978-3-030-67720-6_14(200-211)Online publication date: 2-Feb-2021
  • (2020)Performance, Accuracy and Generalization Capability of RFID Tags’ Constellation for Indoor LocalizationSensors10.3390/s2015410020:15(4100)Online publication date: 23-Jul-2020
  • (2020)Device-free passive wireless localization system with weighted transferable discriminative dimensionality reduction methodTelecommunication Systems10.1007/s11235-020-00675-9Online publication date: 16-May-2020
  • (2019)Review on UHF RFID Localization MethodsIEEE Journal of Radio Frequency Identification10.1109/JRFID.2019.29243463:4(205-215)Online publication date: Dec-2019
  • (2019)Emergency response: Effect of human detection resolution on risks during indoor mass shooting eventsSafety Science10.1016/j.ssci.2019.01.021114(160-170)Online publication date: Apr-2019
  • (2019)Using phase shift fingerprints and inertial measurements in support of precise localization in urban areasPersonal and Ubiquitous Computing10.1007/s00779-019-01227-yOnline publication date: 3-May-2019
  • (2019)MSDFL: a robust minimal hardware low-cost device-free WLAN localization systemNeural Computing and Applications10.1007/s00521-018-3945-8Online publication date: 18-Jan-2019
  • (2019)A New Self-planning Methodology Based on Signal Quality and User Traffic in Wi-Fi NetworksArtificial Intelligence Applications and Innovations10.1007/978-3-030-19909-8_2(19-30)Online publication date: 15-May-2019
  • (2018)Survey on the Indoor Localization Technique of Wi-Fi Access PointsInternational Journal of Digital Crime and Forensics10.4018/IJDCF.201807010310:3(27-42)Online publication date: 1-Jul-2018
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