| 基于回归神经网络的雷达辐射源识别算法 |
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| 引用本文： | 尹健.基于回归神经网络的雷达辐射源识别算法[J].电讯技术,2005,45(4):188-192. |
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| 作者姓名： | 尹健 |
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| 作者单位： | 海军装备研究院,北京102249 |
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| 摘 要： | 本文在研究带偏差单元内部回归神经网络（Internally Recurrent Net，IRN）算法的基础上，分析了雷达特征参数和雷达威胁类型的内在联系；利用统计分析和特征建模的方法获取先验知识、设计分类器并求取模糊隶属函数，结合IRN自学习特性和模糊隶属函数的分类功能识别出目标雷达辐射源可能的威胁类型，给出识别可信度。
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| 关 键 词： | 雷达电子对抗 神经网络 辐射源识别 特征提取 特征分析与建模 知识库 |
| 文章编号： | 1001-893X（2005）04-0188-05 |
| 收稿时间： | 2005-03-10 |
| 修稿时间： | 2005-03-10 |
An Algorithm for Radar Emitter Recognition Based on Internally Recurrent Net |
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| YIN Jian.An Algorithm for Radar Emitter Recognition Based on Internally Recurrent Net[J].Telecommunication Engineering,2005,45(4):188-192. |
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| Authors: | YIN Jian |
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| Abstract: | A radar emitter recognition algorithm based on Internally Recurrent Net (IRN)is presented .The latency incidence relation of radar parameters and radar threat type is studied.Statistic analysis and feature modeling techniques are used to conclude apriority knowledge and induce classifiers and fuzzy subjection functions. Considering radars' multi-feature characteristics, the algorithm integrates the classifying function of fuzzy subjection function and fast convergence characteristic of IRN to output expectation threat type and its reliability. |
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| Keywords: | Radar ECM Neural network Emitter recognition Feature extraction Feature analysis & modeling Knowledge database |
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