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RISFrequency response with significant wind power penetration: Case study of a realistic power system
Intelligent Error Covariance Matrix Resetting for Maneuver Target Tracking
Intelligent Error Covariance Matrix Resetting for Maneuver Target Tracking...
High Maneuvering Target Tracking Using a Novel Hybrid Kalman Filter-Fuzzy Logic Architecture
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...
Intelligent fading memory for high maneuvering target tracking
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...
High maneuvering target tracking using an inputestimation technique associated with fuzzy forgetting factor
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...
An IMM algorithm based on augmented kalman filter for maneuvering target tracking
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 ...
An interacting Fuzzy-Fading-Memory-based Augmented Kalman Filtering method for maneuvering target tracking
-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....
Optimal Partitioned State Kalman Estimator for Maneuvering Target Tracking in Mixed Coordinates
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...