摘要
通过对反舰导弹运动模式及运动特征参数的分析,提出了一种有效的反舰导弹类型识别的贝叶斯网络方法。在机动目标交互式多模型跟踪的基础上,利用曲线拐点检测方法对典型运动模式段进行划分,识别其运动特征参数,根据运动特征参数建立目标类型识别的贝叶斯网络模型。仿真实验证明,方法结构简单,易于实现,具有较高的实用性。
An effective method of Bayesian network is put forward for anti-ship missiles＇ type recognition according to their motion patterns and characteristics. The flight path of the missile is tracked by using an interacting multiple models filter, and the typical mo- tion patterns are segmented by a curve corner detection method. The type recognition Bayesian network is constructed according to the motion characteristics. The simulation results show that the proposed method has a simple structure, which is practical for engineering implementation.
出处
《计算机工程与应用》
CSCD
2012年第9期215-217,248,共4页
Computer Engineering and Applications
基金
河南省创新型科技人才队伍建设工程资助(No.094200510009)
关键词
运动学分析
目标识别
贝叶斯网络
反舰导弹
kinematics analysis
target identification
Bayesian network
anti-shila missiles
