摘要
基于“当前”统计模型和 BP神经网络 ,提出一种新的机动目标神经网络信息融合与并行自适应跟踪算法 ( NIFPAT)。该算法采用双滤波器并行结构 ,利用全状态反馈 ,通过 BP网络调整系统方差以适应目标的运动变化 。
A novel algorithm of neural network based information fusion and parallel adaptive tracking of maneuvering targets (NIFPAT) is proposed. The back propagation neural network applied to the information fusion is trained off line based on the feedback information of all state,and the output of the network is adjusted on line automatically based on the feature vector to fit the different movements of targets. The results of simulation show that the NIFPAT algorithm proposed has an excellent capacity for adaptively tracking maneuvering targets.
出处
《航空学报》
EI
CAS
CSCD
北大核心
1995年第6期715-719,共5页
Acta Aeronautica et Astronautica Sinica
基金
国防科技跨行业预研基金
航空科学基金资助课题