| 粗集-神经网络在雷达信号识别中的应用研究 |
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| 引用本文： | 陈 婷,罗景青.粗集-神经网络在雷达信号识别中的应用研究[J].计算机工程与应用,2008,44(10):28-30. |
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| 作者姓名： | 陈 婷 罗景青 |
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| 作者单位： | 解放军电子工程学院 信息工程系 308室，合肥 230037 |
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| 基金项目： | 国家863-707课题(the 863-707 Foundation of China under Grant No. 2005AA775020). |
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| 摘 要： | 信号识别是侦察系统信号处理的目的，是整个雷达对抗信号处理中关键性的一个环节。为解决雷达信号识别的问题，提出将粗集和神经网络紧密结合建立新的识别模型，该模型充分融合了粗集强大的规则提取能力和神经网络优良的分类能力。实验表明，该模型减少了识别的主观因素，简化了神经网络结构，能够对雷达信号有效地识别。
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| 关 键 词： | 信号识别 粗集 特征参数 属性约简 神经网络 |
| 文章编号： | 1002-8331(2008)10-0028-03 |
| 收稿时间： | 2007-11-27 |
| 修稿时间： | 2007年11月27 |
Research on rough set-neural network and its application in radar signal recognition |
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| CHEN Ting,LUO Jing-qing.Research on rough set-neural network and its application in radar signal recognition[J].Computer Engineering and Applications,2008,44(10):28-30. |
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| Authors: | CHEN Ting LUO Jing-qing |
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| Affiliation: | Lab 308 of Information Engineering，Electronic Engineering Institute of PLA，Hefei 230037，China |
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| Abstract: | The purpose of reconnaissance system’s information processing is signal recognition，which is also a key step in whole process of radar reconnaissance information processing.In order to solve the problem of radar signal recognition，a new type of recognition model is established which combines rough set and neural network closely in this paper.The model mixes the rough set’s strong rule extraction ability and the excellent classification ability of neural network.The simulation results illustrate the model reduces subject factors in signal recognition，improves network’s structure and can manage to identify radar signal without any transcendental information objectively and effectively. |
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| Keywords: | signal recognition rough set characteristic parameter attribute reduction neural network |
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