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Aircraft Recognition Based on Time-Frequency Features and Kernel-Based Nonlinear Classifier
Author(s): YAO Hong-da, LIU Ben-yong, YU Xue-lian, MENG Qing-yu
Pages: 323-
327
Year: 2006
Issue:
6
Journal: RADAR SCIENCE AND TECHNOLOGY
Keyword: 目标识别; 特征提取; 时频分析; 主元分析; 核非线性分类器;
Abstract: 基于雷达目标距离像,研究时变特征提取和核分类器在雷达目标识别中的应用.由于距离像敏感于目标姿态角的变化,单纯的时域或频域方法难以完整刻画目标的散射特性,因此文中采用时频分析方法,首先提取出距离像时频分布的特征参量,再利用主元分析法降低维数,最后采用基于核的非线性分类器进行目标识别.仿真数据和实测数据表明,该方法具有较好的识别效果.
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