Data fusion methods for accuracy improvement in wireless location systems

Chin Der Wann*, Ming Hui Lin

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

20 Scopus citations

Abstract

Wireless location methods in wireless communications networks have received significant attention in recent years. Among the network-based approaches, time of arrival (TOA) and time difference of arrival (TDOA) are two major time-based techniques used for location estimation. It is known that the accuracy of location estimation may suffer from poor geometric dilution of precision (GDOP) situation and non-line of sight (NLOS) propagation effect. To improve the accuracy of time-based location techniques in wireless communications networks, data fusion methods using fuzzy logic and Bayes rules are presented. Based on the statistical properties of the raw location estimates, data fusion methods integrate the data obtained from the TOA and TDOA techniques. Computer simulations are conducted to investigate the wireless location problem affected by GDOP and NLOS. Simulation results show that the overall accuracy of location estimation in wireless location systems can be significantly improved when the LOS reconstruction and the data fusion methods are used.

Original languageEnglish
Title of host publication2004 IEEE Wireless Communications and Networking Conference, WCNC 2004
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages471-476
Number of pages6
Volume1
ISBN (Print)0780383443
StatePublished - 2004
Externally publishedYes
Event2004 IEEE Wireless Communications and Networking Conference, WCNC 2004 - Atlanta, GA, United States
Duration: 21 03 200425 03 2004

Conference

Conference2004 IEEE Wireless Communications and Networking Conference, WCNC 2004
Country/TerritoryUnited States
CityAtlanta, GA
Period21/03/0425/03/04

Keywords

  • Data fusion
  • Fuzzy logic
  • GDOP
  • Location estimation
  • NLOS
  • Wireless location system

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