| 基于支持向量机的相控阵雷达信号识别方法 |
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| 引用本文： | 樊亚春,王岩,才迎光,马国欣. 基于支持向量机的相控阵雷达信号识别方法[J]. 电子信息对抗技术, 2014, 0(5): 44-48 |
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| 作者姓名： | 樊亚春 王岩 才迎光 马国欣 |
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| 作者单位： | 解放军93132部队,齐齐哈尔,161016 |
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| 摘 要： | 在分析支持向量机识别原理和相控阵雷达信号特点的基础上,确定了用于分类识别的雷达特征参数,并给出了采用支持向量机来实现相控阵雷达信号识别的具体方法。仿真结果表明,使用一对一算法和多项式核函数的支持向量机分类器的方法对相控阵雷达信号的识别效果较好。
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| 关 键 词： | 支持向量机 相控阵雷达 信号识别 神经网络 核函数 |
The Recognition Method of Phased-Array Radar Signal Based on Support Vector Machine |
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| FAN Ya-chun,WANG Yan,CAI Ying-guang,MA Guo-xin. The Recognition Method of Phased-Array Radar Signal Based on Support Vector Machine[J]. , 2014, 0(5): 44-48 |
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| Authors: | FAN Ya-chun WANG Yan CAI Ying-guang MA Guo-xin |
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| Affiliation: | ( Unit 93132 of PLA, Qiqihar 161016, China) |
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| Abstract: | Based on the analysis to the recognition principle of the support vector machine （ SVM） and the signal character of the phased-array radar, the characteristic parameters of radar for rec-ognizing and classifying are determined, and the concrete method of recognition to the phased-ar-ray radar signal based on SVM is given. The simulation results show that the method using the SVM classifier with the one-to-one algorithm and a polynomial kernel function is efficient. |
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| Keywords: | support vector machine phased-array radar signal recognition neural network kernel function |
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