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

I. Bilik; J. Tabrikian

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

I. Bilik, J. Tabrikian

Department of Electrical & Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Scopus citations

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 language	English
Title of host publication	2006 IEEE Radar Conference
Pages	282-287
Number of pages	6
State	Published - 21 Nov 2006
Event	2006 IEEE Radar Conference - New York, United States Duration: 24 Apr 2006 → 26 Apr 2006

Publication series

Name	CIE International Conference of Radar Proceedings
Volume	2006

Conference

Conference	2006 IEEE Radar Conference
Country/Territory	United States
City	New York
Period	24/04/06 → 26/04/06

ASJC Scopus subject areas

Engineering (all)

Cite this

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title = "Target tracking in glint noise environment using nonlinear non-Gaussian Kaman filter",

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.",

author = "I. Bilik and J. Tabrikian",

year = "2006",

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day = "21",

language = "English",

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T1 - Target tracking in glint noise environment using nonlinear non-Gaussian Kaman filter

AU - Bilik, I.

AU - Tabrikian, J.

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N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=33751038054&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:33751038054

SN - 0780394976

SN - 9780780394971

T3 - CIE International Conference of Radar Proceedings

SP - 282

EP - 287

BT - 2006 IEEE Radar Conference

T2 - 2006 IEEE Radar Conference

Y2 - 24 April 2006 through 26 April 2006

ER -

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

Abstract

Publication series

Conference

ASJC Scopus subject areas

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