| 基于支撑矢量机的信源数估计 |
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| 引用本文： | 赵汇强,张玉萍,赵 波.基于支撑矢量机的信源数估计[J].河北科技大学学报,2011,32(4):342-346. |
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| 作者姓名： | 赵汇强 张玉萍 赵 波 |
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| 作者单位： | 1. 军械工程学院光学与电子工程系,河北石家庄,050003
2. 河北科技大学理工学院,河北石家庄,050031 |
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| 摘 要： | 为了改善在低信噪比、小快拍、色噪声环境下盖氏圆准则信源数估计算法的估计性能,提出了基于支撑矢量机(SVM)的信源数估计算法.基于支撑矢量机的信源数估计算法应用天线阵列接收数据协方差矩阵经特征值分解后,噪声的特征矢量与天线阵列的阵列流型正交的特性,通过盖氏圆算法提取信号和噪声的分类特征,再构造和训练两类分类矢量机,将天线...
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| 关 键 词： | 信源数估计 盖氏圆准则 支撑矢量机 分类特征 |
| 收稿时间： | 2010/9/8 0:00:00 |
| 修稿时间： | 2011/3/22 0:00:00 |
Source number estimation based on support vector machine |
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| ZHAO Hui-qiang,ZHANG Yu-ping and ZHAO-Bo.Source number estimation based on support vector machine[J].Journal of Hebei University of Science and Technology,2011,32(4):342-346. |
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| Authors: | ZHAO Hui-qiang ZHANG Yu-ping and ZHAO-Bo |
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| Institution: | ZHAO Hui-qiang1,ZHANG Yu-ping2,ZHAO-Bo1(1.Department of Optical and Electronic Engineering,Ordnance Engineering College,Shijiazhuang Hebei 050003,China,2.College Polytechnic,Hebei University of Science and Technology,Shijiazhuang Hebei 050031,China) |
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| Abstract: | This paper proposed a source number estimation algorithm based on support vector machine(SVM) for improving estimation performance in low ratio of signal to noise,small snapshots and color noise environment.This algorithm decomposes the received signal data covariance matrix to get the signal vector and the noise vector at first,and then abstracts the property sort of signal and noise with Gerschgorin circle algorithm by the orthotropic property of the antenna array manifold and the noise vectors.At last,th... |
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| Keywords: | source number estimation Gerschgorin circle SVM characteristic vector |
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