| 基于免疫神经网络的雷达天线扫描方式的识别 |
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| 引用本文： | 唐斌,胡光锐. 基于免疫神经网络的雷达天线扫描方式的识别[J]. 应用科学学报, 2003, 21(1): 36-38 |
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| 作者姓名： | 唐斌 胡光锐 |
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| 作者单位： | 上海交通大学电子工程系 上海 200030 |
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| 基金项目： | 国防科技预研重点课题(33.6.2.7) |
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| 摘 要： | 采用了免疫RBF网络进行雷达天线扫描方式的识别.计算机仿真结果表明,对目前常见的几种简单的雷达天线扫描方式,免疫RBF网络系统在输入信噪比为4dB时的识别率已经达到99.13%,而它的网络训练步数仅需99步,具有非常优越的性能.
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| 关 键 词： | 雷达天线扫描方式 进化算法 免疫进化算法 径向基函数网络 |
| 文章编号： | 0255-8297(2003)01-0036-03 |
| 收稿时间： | 2001-09-08 |
| 修稿时间： | 2002-04-16 |
Recognition of the Scanning Style of the Radar Antenna Using Immune Neural Networks |
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| TANG Bin,HU Guang-rui. Recognition of the Scanning Style of the Radar Antenna Using Immune Neural Networks[J]. Journal of Applied Sciences, 2003, 21(1): 36-38 |
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| Authors: | TANG Bin HU Guang-rui |
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| Affiliation: | Department of Electronic Engineering, Shanghai Jiaotong University, Shanghai 200030, China |
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| Abstract: | The scanning style of the radar antenna varies with the working state. The correct recognition of radar scanning style is important in deciding its threatening degree to our side. It is also an important means to recognize the types and working styles of radar. We uses the radial basis function (RBF) network based on immune evolutionary algorithm to recognize the scanning style of the radar antenna. Computer simulation shows that for simple radar scanning styles, the recognition rate of immune RBF network has reached 99. 13% when SNR is 4dB. The training period of the network has only 99 steps, which proves its excellent performance. |
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| Keywords: | scanning style of the radar antenna RBF network evolutionary algorithm immune evolutionary algorithm |
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