Article thumbnail

FDOA Measurements

By ?????????


In this letter, we propose a moving-target tracking algorithm based on a particle filter that uses the time difference of arrival (TDOA)/frequency difference of arrival (FDOA) measurements acquired by distributed sensors. It is shown that the performance of the proposed algorithm, based on the particle filter, outperforms the one based on the extended Kalman filter. The use of both the TDOA and FDOA measurements is shown to be effective in the moving-target tracking. It is proven that the particle filter deals with the nonlinear nature of the moving-target tracking problem successfully

Topics: Time difference of arrival (TDOA), frequency difference of arrival (FDOA), particle filter, target tracking.
Year: 2012
DOI identifier: 10.4218/etrij.12.0211.0218
OAI identifier:
Provided by: HANYANG Repository
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • (external link)
  • (external link)
  • Suggested articles

    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.