Type recognition of anti-ship missiles based on Bayesian network

Computer Engineering and Applications ›› 2012, Vol. 48 ›› Issue (9): 215-217.

• 工程与应用 • Previous Articles Next Articles

Type recognition of anti-ship missiles based on Bayesian network

YU Junwei1, LIU Nan2, ZHANG Dexian1, WANG Feng1

1.College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China
2.Institute of Electronic Technology, PLA Information Engineering University, Zhengzhou 450004, China

Received:1900-01-01 Revised:1900-01-01 Online:2012-03-21 Published:2012-04-11

反舰导弹类型识别的贝叶斯网络方法

于俊伟1，刘楠2，张德贤1，王峰1

1.河南工业大学信息科学与工程学院，郑州 450001
2.解放军信息工程大学电子技术学院，郑州 450004

Abstract

Abstract: 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 motion 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.

Key words: kinematics analysis, target identification, Bayesian network, anti-ship missiles

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。

关键词: 运动学分析, 目标识别, 贝叶斯网络, 反舰导弹

YU Junwei1, LIU Nan2, ZHANG Dexian1, WANG Feng1. Type recognition of anti-ship missiles based on Bayesian network[J]. Computer Engineering and Applications, 2012, 48(9): 215-217.

于俊伟1，刘楠2，张德贤1，王峰1. 反舰导弹类型识别的贝叶斯网络方法[J]. 计算机工程与应用, 2012, 48(9): 215-217.

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Type recognition of anti-ship missiles based on Bayesian network

反舰导弹类型识别的贝叶斯网络方法

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