TDOA/FDOA geolocation with adaptive extended Kalman filter

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

Abstract

In this paper, we propose a moving target tracking algorithm using the measurement signals of time difference of arrival (TDOA) and the frequency difference of arrival (FDOA). As the conventional target tracking using TDOA measurement is not accurate enough to estimate the target location, we use the TDOA and FDOA measurement signals together to estimate the location and the velocity of a target at discrete times. Although, the Kalman filter shows remarkable performance in calculation and location estimation, the estimation error can be large when the priori noise covariances are assumed with improper values. We suggest an adaptive extended Kalman filter (AEKF) to update the noise covariance at each measurement and estimation process. The simulation results show that the algorithm efficiently reduces the position error and it also greatly improves the accuracy of target tracking.

Original languageEnglish
Title of host publicationGrid and Distributed Computing, Control and Automation - International Conferences, GDC and CA 2010, Held as Part of the Future Generation Information Technology Conference, FGIT 2010, Proceedings
Pages226-235
Number of pages10
DOIs
StatePublished - 2010
Event2010 International Conferences on Grid and Distributed Computing, GDC 2010 and Control and Automation, CA 2010, Held as Part of the 2nd International Mega-Conference on Future Generation Information Technology, FGIT 2010 - Jeju Island, Korea, Republic of
Duration: 13 Dec 201015 Dec 2010

Publication series

NameCommunications in Computer and Information Science
Volume121 CCIS
ISSN (Print)1865-0929

Conference

Conference2010 International Conferences on Grid and Distributed Computing, GDC 2010 and Control and Automation, CA 2010, Held as Part of the 2nd International Mega-Conference on Future Generation Information Technology, FGIT 2010
Country/TerritoryKorea, Republic of
CityJeju Island
Period13/12/1015/12/10

Keywords

  • Adaptive extended Kalman filter
  • frequency difference of arrival
  • geolocation
  • target tracking
  • time difference of arrival

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