A Comprehensive Estimation Method for Kernel Function of Radar Signal Classifier

被引：9
|
作者：
Xu Jing [1 ]
He Minghao [1 ]
Han Jun [1 ]
Chen Changxiao [1 ]
机构：
[1] Air Force Early Warning Acad, Wuhan 430019, Peoples R China
来源：
CHINESE JOURNAL OF ELECTRONICS | 2015年 / 24卷 / 01期
基金：
中国国家自然科学基金;
关键词：
Radar emitter; Support vector machine (SVM); Kernel function; Comprehensive estimation;
D O I：
10.1049/cje.2015.01.036
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The current electromagnetism environment is fast changing and levity, the methods for evaluation Suppont vector machine (SVM) kernel functions which are used in radar signal recognition can not suit it. So kernel space separate, stability and parameter numbers were proposed in this paper to review the performance of kernel function, and a novel method for estimating kernel function was designed. By simulation, this novel method can estimate the performance of kernel function roundly, and can choose the best kernel function in different application demand for recognition.
引用
收藏
页码：218 / 222
页数：5
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