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

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Abstract

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
Pages282-287
Number of pages6
DOIs
StatePublished - 1 Dec 2006
Event2006 IEEE Radar Conference - Verona, NY, United States
Duration: 24 Apr 200627 Apr 2006

Publication series

NameIEEE National Radar Conference - Proceedings
ISSN (Print)1097-5659

Conference

Conference2006 IEEE Radar Conference
Country/TerritoryUnited States
CityVerona, NY
Period24/04/0627/04/06

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