Maneuvering target tracking in the presence of glint

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Abstract

The problem of maneuvering target tracking in the presence of glint noise Is addressed In this paper. The main challenge In this problem stems from Its nonlinearity and non-Gaussianity. In this work, the nonlinear Gaussian mixture Kalman filter (NL-GMKF) is applied to the problem of maneuvering target tracking in the presence of glint. The algorithm is based on the Gaussian mixture model for the posterior state vector distribution. The tracking performance of the NL-GMKF is evaluated and compared to the interacting multiple modeling (IMM) with extended Kalman filter (EKF), particle filter (PF) and the EKF. It is shown that the NL-GMKF outperforms other tested methods.

Original languageEnglish
Title of host publication2006 IEEE 24th Convention of Electrical and Electronics Engineers in Israel, IEEEI
Pages52-56
Number of pages5
DOIs
StatePublished - 1 Dec 2006
Event2006 IEEE 24th Convention of Electrical and Electronics Engineers in Israel, IEEEI - Eilat, Israel
Duration: 15 Nov 200617 Nov 2006

Publication series

NameIEEE Convention of Electrical and Electronics Engineers in Israel, Proceedings

Conference

Conference2006 IEEE 24th Convention of Electrical and Electronics Engineers in Israel, IEEEI
Country/TerritoryIsrael
CityEilat
Period15/11/0617/11/06

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials

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