一种快速有效的雷达目标识别方法

基于核的学习算法提出一种快速有效的雷达目标识别方法。首先利用核的主分量分析方法对雷达目标的一维距离像进行特征提取,可以有效地提取出其中的非线性特征;然后基于一种新型的支撑矢量机——近似支撑矢量机作为分类器对所提取的特征进行识别。实验结果表明,所提出的识别方法其正确识别率与标准支撑矢量机相当,但在计算速度上却有很大的提高,并对噪声具有较好的抑制作用。

An Efficient Method for Fast Radar Target Recognition

A fast method for radar tidentification by range profiles is proposed based on the kernel algorithms. The whole recognition process consists of two stages. The first is concerned with feature extraction where the kernel principal component analysis is used to select the non- linear features of range profiles. The second is concerned with pattern classification where the proximal support vector machine is constructed as classifier. Experiment results indicate that the proposed method has comparable recognition corretness to that of standard support vector machine, but with considerably faster computational speed, and it is robust to noise at the same time.