Comparison of Tracking Performances of Interacting Multiple Model Algorithms under Irregular Sampling Intervals

Abstract

In this study, the target tracking performances of Kalman Filter, Converted Measurements Kalman Filter and Alpha-Beta-Gamma Filter for Interactive Multiple Model were compared for the case of irregular sampling intervals. Although irregular measurement intervals are common in practice, the tracking performance comparison of Interactive Multiple Model based tracking filters is done for the first time in the literature. It is shown that Converted Measurements Kalman Filter has better performance than the other two filters for real air target tracking problem with irregular sampling intervals when RMSE criteria is used.