High Maneuvering Target Tracking Using Fuzzy Covariance Presetting

An interacting Fuzzy-Fading-Memory-based Augmented Kalman Filtering method for maneuvering target tracking

“…However, due to the deficiency of its maneuver detector system, this method has not increased the performance of AUKF method effectively. In [12], the authors tried to handle this dilemma by proposing an intelligent approach based on the fuzzy logic for covariance matrix resetting. Unfortunately, the fuzzy system used in this approach is not accurate enough.…”

“…To cope with this problem, several methods have been proposed in recent years with varying degrees of success [7][8][9][10][11][12][13]. Unfortunately, most of these techniques have some major problems.…”

“…This problem is due to the limitation of this estimator to model the target acceleration dynamics correctly and completely, which causes the covariance matrix (P Aug (n | n)) becomes small after a few iterations. In recent years, several techniques have been proposed to deal with this trouble [7][8][9][10][11][12][13]. Among them, the fading memory method [9] is noteworthy because of its efficiency and easy implementation.…”

Tracking Maneuvering Trajectory under a Boosted Kalman Filtering

“…then () wk is a white noise sequence, k Q and kj  are covariance matrix and Kronecker- function, shown as follows, of () wk , respectively [6]. 1 0…”