Target tracking in glint noise environment using nonlinear non-Gaussian Kaman filter

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

7 Scopus citations


The problem of nonlinear non-Gaussian target tracking with glint measurement noise is addressed in this work. The heavy-tailed glint noise distribution is modeled by mixture of two Gaussians. A new nonlinear Gaussian mixture Kalman filter (NL-GMKF), is applied to this problem. The tracking performance of the NL-GMKF is evaluated and compared to the particle filter (PF) and the extended Kalman filter (EKF) via simulations. It is shown that the NL-GMKF outperforms both the PF and the EKF.

Original languageEnglish
Title of host publication2006 IEEE Radar Conference
Number of pages6
StatePublished - 21 Nov 2006
Event2006 IEEE Radar Conference - New York, United States
Duration: 24 Apr 200626 Apr 2006

Publication series

NameCIE International Conference of Radar Proceedings


Conference2006 IEEE Radar Conference
Country/TerritoryUnited States
CityNew York

ASJC Scopus subject areas

  • Engineering (all)


Dive into the research topics of 'Target tracking in glint noise environment using nonlinear non-Gaussian Kaman filter'. Together they form a unique fingerprint.

Cite this