太赫兹科学与电子信息学报, 2018, 16 (2): 233, 网络出版: 2018-06-09   

认知雷达对抗中的未知雷达状态识别方法

Unknown radar state recognition method for Cognitive Radar Countermeasure
作者单位
北京理工大学信息与电子学院, 北京 100081
摘要
相比于传统的雷达对抗系统, 认知雷达对抗引入了闭环行为学习过程, 使得干扰方可以通过对雷达信号进行状态辨识, 进而进行干扰效果评估, 经过自主学习优化干扰策略, 从而使得干扰更具有主动性和针对性。雷达状态识别是认知雷达对抗的基础, 而在对抗过程中, 目标雷达随时可能激活先前“隐藏”的“未知状态”, 这就要求干扰方能够快速对未知雷达状态做出响应。本文重点研究认知雷达对抗中的未知雷达状态识别, 利用机器学习理论相关算法, 提出了基于有监督分类与基于无监督聚类的 2种未知状态识别方法, 并通过仿真实验分别验证了 2种方法的有效性。
Abstract
In comparison to traditional radar countermeasure system, the closed-loop behavior learning is introduced into Cognitive Radar Countermeasure(CRCM), which conducts state recognition and jamming effect evaluation through radar signals, and then jamming strategy is optimized by autonomy making jamming more initiative and pertinent. Radar state recognition is the basis of CRCM, but the target radar may activate previously hidden unknown states in the opposed process, which compels CRCM to react to the unknown states rapidly. In consequence, unknown radar state recognition is focused on for CRCM, and two recognition methods are proposed based on supervised classification and unsupervised clustering respectively utilizing related machine learning algorithms. The simulation results validate the effectiveness of the two approaches.
参考文献

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李岩, 高梅国, 崔双洋. 认知雷达对抗中的未知雷达状态识别方法[J]. 太赫兹科学与电子信息学报, 2018, 16(2): 233. LI Yan, GAO Meiguo, CUI Shuangyang. Unknown radar state recognition method for Cognitive Radar Countermeasure[J]. Journal of terahertz science and electronic information technology, 2018, 16(2): 233.

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