| A Classification Algorithm for Ground Moving Targets Based on Magnetic Sensors |
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| 作者姓名： | 崔逊学 刘綦 刘坤 |
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| 作者单位： | CUI Xun-xue,LIU Kun(Military Network Engineering Department, Artillery Academy of PLA,Hefei 230031 Anhui, China);LIU Qi(Intelligence Information Department, Artillery Command Academy of PLA, Xuanhua 075100 Hebei, China) |
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| 基金项目： | Sponsored by the National Natural Science Foundation of China (60773129); the Excellent Youth Science and Technology Foundation of Anhui Province of China ( 08040106808) |
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| 摘 要： | A novel classification algorithm based on abnormal magnetic signals is proposed for ground moving targets which are made of ferromagnetic material. According to the effect of diverse targets on earth's magnetism,the moving targets are detected by a magnetic sensor and classified with a simple computation method. The detection sensor is used for collecting a disturbance signal of earth magnetic field from an undetermined target. An optimum category match pattern of target signature is tested by training some statistical samples and designing a classification machine. Three ordinary targets are researched in the paper. The experimental results show that the algorithm has a low computation cost and a better sorting accuracy. This classification method can be applied to ground reconnaissance and target intrusion detection.
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| 关 键 词： | information processing magnetic sensor abnormal magnetic signal target detection target classification classification algorithm |
A Classification Algorithm for Ground Moving Targets Based on Magnetic Sensors |
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| CUI Xun-xue,LIU Qi ,LIU Kun.A Classification Algorithm for Ground Moving Targets Based on Magnetic Sensors[J].Journal of China Ordnance,2011,7(1):52-58. |
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| Authors: | CUI Xun-xue LIU Qi LIU Kun |
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| Affiliation: | CUI Xun-xue1,LIU Qi 2,LIU Kun 1(1.Military Network Engineering Department,Artillery Academy of PLA,Hefei 230031 Anhui,China,2.Intelligence Information Department,Artillery Command Academy of PLA,Xuanhua 075100 Hebei,China) |
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| Abstract: | A novel classification algorithm based on abnormal magnetic signals is proposed for ground moving targets which are made of ferromagnetic material. According to the effect of diverse targets on earth's magnetism, the moving targets are detected by a magnetic sensor and classified with a simple computation method. The detection sensor is used for collecting a disturbance signal of earth magnetic field from an undetermined target. An optimum category match pattern of target signature is tested by training som... |
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| Keywords: | information processing magnetic sensor abnormal magnetic signal target detection target classification classification algorithm |
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