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Support vector machine radar emitter identification algorithm based on AP clustering

机译:基于AP聚类的支持向量机雷达辐射源识别算法。

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This paper designs SVM radar emitter classification and identification methods based on the AP clustering. Using AP clustering algorithm to optimize the data set obtains a high-quality, small-sample training set of SVM classifier. Experimental results show that compared with the traditional SVM classifiers, the hybrid classifier has higher classification accuracy and furthermore Radar emitter classification and identification of the method is better.
机译:本文设计了基于AP聚类的SVM雷达辐射源分类与识别方法。使用AP聚类算法优化数据集可获得高质量,小样本的SVM分类器训练集。实验结果表明,与传统的支持向量机分类器相比,混合分类器具有更高的分类精度,并且该方法的雷达发射器分类和识别效果更好。

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