航空学报 > 1995, Vol. 16 Issue (6): 715-719

基于神经网络的机动目标信息融合与并行自适应跟踪

敬忠良, 徐宏, 周雪琴, 戴冠中   

  1. 西北工业大学自动控制系,西安,710072
  • 收稿日期:1993-07-17 修回日期:1994-09-01 出版日期:1995-12-25 发布日期:1995-12-25

NEURAL NETWORK-BASED INFORMATION FUSION AND PARALLEL ADAPTIVE TRACKING OF MANEUVERING TARGETS

Jing Zhongliang, Xu Hong, Zhou Xueqin, Dai Guanzhong   

  1. Dept of Automatic Control,Northwestern Polytechnical University,Xi'an,710072
  • Received:1993-07-17 Revised:1994-09-01 Online:1995-12-25 Published:1995-12-25

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 ,具有对目标各种运动状态的良好自适应跟踪能力

关键词: 信息融合, 神经网络, 目标跟踪

Abstract: 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.

Key words: info rmation fusion, neural net, target tracking

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