TY - GEN
T1 - Target tracking in glint noise environment using nonlinear non-Gaussian Kalman filter
AU - Bilik, I.
AU - Tabrikian, J.
PY - 2006/12/1
Y1 - 2006/12/1
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=66349129779&partnerID=8YFLogxK
U2 - 10.1109/RADAR.2006.1631813
DO - 10.1109/RADAR.2006.1631813
M3 - Conference contribution
AN - SCOPUS:66349129779
SN - 0780394968
SN - 9780780394964
T3 - IEEE National Radar Conference - Proceedings
SP - 282
EP - 287
BT - 2006 IEEE Radar Conference
T2 - 2006 IEEE Radar Conference
Y2 - 24 April 2006 through 27 April 2006
ER -