| 反舰导弹类型识别的贝叶斯网络方法 |
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| 引用本文： | 于俊伟,刘楠,张德贤,王峰. 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): 215-217,248 |
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| 作者姓名： | 于俊伟 刘楠 张德贤 王峰 |
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| 作者单位： | 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 |
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| 基金项目： | 河南省创新型科技人才队伍建设工程资助（No.094200510009）. |
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| 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。
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| 关 键 词： | 运动学分析 目标识别 贝叶斯网络 反舰导弹 |
Type recognition of anti-ship missiles based on Bayesian network |
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| YU Junwei , LIU Nan , ZHANG Dexian , WANG Feng. Type recognition of anti-ship missiles based on Bayesian network[J]. Computer Engineering and Applications, 2012, 48(9): 215-217,248 |
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| Authors: | YU Junwei LIU Nan ZHANG Dexian WANG Feng |
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| Affiliation: | 1 ( 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) |
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| 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 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. |
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| Keywords: | kinematics analysis target identification Bayesian network anti-shila missiles |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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