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Maneuvering Target Tracking in the Presence of Glint

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2 Author(s)
Bilik, I. ; Dept. of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel. E-mail: bilik@ee.bgu.ac.il ; Tabrikian, J.

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.

Published in:

Electrical and Electronics Engineers in Israel, 2006 IEEE 24th Convention of

Date of Conference:

Nov. 2006