A core controller design and implement for Ground Multiple Formations Tracking
Guobing Li, Ronghua Guo, Zheng Qin, Yang Chang, Xiangnan Li · 2009
Ground Multiple Formations Tracking (GMFT) suffers from characteristics of low probability of detection, too many clutters, high maneuverability and so on, which frequently leads to the loss of targets and miss tracking. In order to resolve the problems above, a core controller (GMFT Core Controller) is designed, and a series of GMFT Core Controller algorithms, including a GMFT Core Controller processing algorithm (CCP), a modified nearest neighbor data association (M-NNDA) and a formation center unscented Kalman filter (FC-UKF), are proposed. Simulation shows that the new algorithms can address efficiently the problems of GMFT.