Intelligent Error Covariance Matrix Resetting for Maneuver Target Tracking...

adaptation capabilities have recently been issued. Although these methods yield reasonable

performance in tracking maneuvering targets, their accuracy in non-maneuvering mode

was not satisfactory. In this research, based on information about the target...

In this paper, a new fuzzy fading memory (FFM) is developed in order to aid a modified input estimation

(MIE) technique and to enhance its performance in tracking high maneuvering targets. The MIE has been

introduced recently...

In this paper, a new fuzzy forgetting factor (FFF) is developed in order to aid a modified input estimation

(MIE) technique and enhance its performance in tracking high maneuvering targets. The MIE has been

introduced recently...

In this paper, in order to increase the accuracy of interacting multiple model (IMM) algorithm in presence of low and medium maneuvers, a new IMM algorithm based on Augmented Kalman Filter (AUKF) has been proposed. The ...

-filters with respect to the target maneuver and reduces the number of required sub-filters to cover the wide range of unknown target accelerations. The Monte Carlo simulation analysis shows the effectiveness of the above-mentioned methods in maneuvering target tracking....

A new two stage algorithm is originally proposed to reduce the computational effort for maneuvering target tracking in mixed coordinates. The augmented state Kalman estimators, which are based on the jerk modelling, are computationally expensive...