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| 用神经网络进行雷达辐射源识别研究 | |
| 引用本文： | 唐健仁,朱元清,徐庆,王志斌.用神经网络进行雷达辐射源识别研究[J].空军雷达学院学报,2007,21(1):25-27. |
| 作者姓名： | 唐健仁 朱元清 徐庆 王志斌 |
| 作者单位： | 1. 空军雷达学院研究生管理大队,武汉,430019 2. 空军雷达学院电子对抗系,武汉,430019 3. 电子科技大学电子工程学院,成都,610054 |
| 摘 要： | 为提高雷达辐射源识别系统的识别率，分析了BP神经网络、径向基神经网络和径向基概率神经网络等3种神经网络的结构和性能．用假设的10部雷达参数产生数据进行实验．仿真结果表明，应用径向基概率神经网络能大幅提高雷达辐射源识别的识别率，该网络在雷达辐射源识别中的分类性能明显优于其他2种神经网络． |
| 关 键 词： | 雷达辐射源 模式识别 神经网络 |
| 文章编号： | 1673-8691（2007）01-0025-03 |
| 修稿时间： | 2006-10-242006-10-31 |
Study of Radar Emitter Recognition by Using Neural Networks |
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| TANG Jian-ren,ZHU Yuan-qing,XU Qing,WANG Zhi-bin.Study of Radar Emitter Recognition by Using Neural Networks[J].Journal of Air Force Radar Academy,2007,21(1):25-27. | |
| Authors: | TANG Jian-ren ZHU Yuan-qing XU Qing WANG Zhi-bin |
| Affiliation: | 1.Departrnont of Graduate Management, AFRA, Wuhan 430019, China; 2. Department of Electronic Countermeasuros, AFRA, Wuhan 430019, China; 3. School of Electronic Enginocring, UESTC, Chengdu 610054,China |
| Abstract: | In order to improve the radar emitter recognition rate, the structure and performance of the BPNN, RBFNN and RBPNN were analyzed. Fulfilled by experiments on the assumed parameters and data out often radars, the results of simulation show that using the RBPNN is to improve greatly the radar emitter recognition rate, and this network is obviously superior to the other two networks in the classification performance on radar emitter recognition. |
| Keywords: | radar emitter pattern recognition neural networks |
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