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首页> 外文期刊>Chinese Journal of Electronics >A Comprehensive Estimation Method for Kernel Function of Radar Signal Classifier
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A Comprehensive Estimation Method for Kernel Function of Radar Signal Classifier

机译:雷达信号分类器核函数的综合估计方法

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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.
机译:当前的电磁环境瞬息万变,变化无常,雷达信号识别中使用的Suppont向量机(SVM)核函数评估方法并不适合。为此,本文提出了核空间的分离,稳定性和参数数,以评价核函数的性能,并设计了一种新的核函数估计方法。通过仿真,该新方法可以全面估计核函数的性能,并可以在不同的应用需求中选择最佳的核函数进行识别。

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