VFF-PASTd Based Multiple Target Angle Tracking with Angular Innovation

摘要

Ryu et al.'s recent paper proposed a multiple target angle-tracking algorithm without data association. This algorithm, however, shows degraded performance on evasive maneuvering targets, because the estimated signal subspace is degraded in the algorithm. In this paper, we propose a new algorithm where, VFF-PASTd (Variable Forgetting Factor PASTd) algorithm is applied to the Ryu's algorithm to effectively handle the evasive target tracking with better time-varying signal subspace.