Location estimation with data fusion for wireless location systems

Chin Der Wann*, Ming Hui Lin

*Corresponding author for this work

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

9 Scopus citations

Abstract

Wireless location in wireless communications networks has been studied extensively in recent years. Among the network-based approaches, time of arrival (TOA) and time difference of arrival (TDOA) are two time-based techniques used in 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 provide more accurate measures for time-based location techniques under the effects of GDOP in wireless communications networks, a data fusion with fuzzy rules is presented. Based on the GDOP statistical properties of the raw location measures, the data fusion integrates data obtained from the TOA and TDOA techniques. Simulation results show that the proposed fuzzy logic-based data fusion effectively improves the overall accuracy of location estimation in wireless location systems.

Original languageEnglish
Title of host publicationConference Proceedings - 2004 IEEE International Conference on Networking, Sensing and Control
Pages327-332
Number of pages6
StatePublished - 2004
Externally publishedYes
EventConference Proceeding - 2004 IEEE International Conference on Networking, Sensing and Control - Taipei, Taiwan
Duration: 21 03 200423 03 2004

Publication series

NameConference Proceeding - IEEE International Conference on Networking, Sensing and Control
Volume1

Conference

ConferenceConference Proceeding - 2004 IEEE International Conference on Networking, Sensing and Control
Country/TerritoryTaiwan
CityTaipei
Period21/03/0423/03/04

Keywords

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

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