| 基于运动分解和H-SVM的空战目标机动识别 |
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| 引用本文： | 徐西蒙,杨任农,于洋,张涛.基于运动分解和H-SVM的空战目标机动识别[J].控制与决策,2020,35(5):1265-1272. |
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| 作者姓名： | 徐西蒙 杨任农 于洋 张涛 |
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| 作者单位： | 空军工程大学空管领航学院,西安,710051;中国人民解放军95810部队,北京,100076 |
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| 摘 要： | 目标机动识别是空战态势感知中的关键问题.针对现有识别方法主观因素较多、模型复杂、难以满足实时性和识别准确率不够高等问题,提出一种基于运动分解和层次支持向量机(hierarchical support vector machine, H-SVM)的机动识别方法.利用$v\text{-
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| 关 键 词： | 空战 机动识别 H-SVM 运动分解 ACMI |
Target maneuver recognition in air combat based on motion decomposition and H-SVM |
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| XU Xi-meng,YANG Ren-nong,YU Yang and ZHANG Tao.Target maneuver recognition in air combat based on motion decomposition and H-SVM[J].Control and Decision,2020,35(5):1265-1272. |
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| Authors: | XU Xi-meng YANG Ren-nong YU Yang and ZHANG Tao |
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| Affiliation: | Air Traffic Control and Navigation College,Air Force Engineering University, Xián710051,China,Air Traffic Control and Navigation College,Air Force Engineering University, Xián710051,China,Unit 95810 of the PLA,Beijing100076,China and Air Traffic Control and Navigation College,Air Force Engineering University, Xián710051,China |
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| Abstract: | Target maneuver recognition is a key problem in air combat situation awareness. Aiming at the problems of the existing recognition methods such as more subjective factors, complicated models, difficult to meet the real-time performance and low recognition accuracy, a maneuver recognition method based on motion decomposition and hierarchical support vector machine(H-SVM) is proposed. The H-SVM multi-classifier is constructed by using the $v\text{- |
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