An interacting multiple model approach for target tracking with glint noise

The application of the interacting multiple model (IMM) approach to the problem of target tracking when the radar measurements are perturbed by glint noise is considered. The IMM is a very effective approach when the system has discrete uncertainties in the dynamic or measurement model as well as continuous uncertainties. It is shown that this method performs better than the nonlinear filtering algorithm known as the “score function” method. It is also shown that the IMM algorithm method performs robustly when the exact prior information on the glint noise is not available, while the other method requires a more accurate statistical knowledge of the glint phenomenon