| 一种雷达辐射源识别自学习算法研究 |
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| 引用本文： | 李文宫,武传华,钱 怡. 一种雷达辐射源识别自学习算法研究[J]. 指挥控制与仿真, 2008, 30(4): 48-51 |
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| 作者姓名： | 李文宫 武传华 钱 怡 |
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| 作者单位： | 解放军电子工程学院,安徽,合肥,230037;解放军电子工程学院,安徽,合肥,230037;解放军电子工程学院,安徽,合肥,230037 |
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| 摘 要： | 针对目前雷达对抗系统面临的辐射源识别精度不高、智能化水平低的特点,将自学习理论引入到雷达对抗系统中。提出了基于遗传算法(GA)的自学习算法实现雷达辐射源智能识别的方法。实验表明:在使用相同的特征参数"前件"条件下,通过这种自学习方法得到的正确识别率高于其它识别方法。
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| 关 键 词： | 雷达对抗 辐射源识别 遗传算法(GA) 规则 自学习 |
A Self-Learning Algorithm for Radar Emitter Recognition |
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| LI Wen-gong,WU Chuan-hua,QIAN Yi. A Self-Learning Algorithm for Radar Emitter Recognition[J]. Command Control & Simulation, 2008, 30(4): 48-51 |
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| Authors: | LI Wen-gong WU Chuan-hua QIAN Yi |
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| Abstract: | According to the characteristics of low precision and low intelligence level in emitter recongnition which radar countermeasure system facing now, self-learning theory is used in radar countermeasure system. Putting forward self-learning algorithm of Radar Emitter Recognition based on GA, this research indicates that this self-learning algorithm can reaches higher correctness identification rate than other method under the same character parameters. |
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| Keywords: | radar ECM radar recognition GA rule self-learning |
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