| 雷达目标一维距离像识别中的最优子空间法 |
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| 引用本文： | 周代英. 雷达目标一维距离像识别中的最优子空间法[J]. 电波科学学报, 2004, 19(6): 748-751 |
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| 作者姓名： | 周代英 |
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| 作者单位： | 西南师范大学计算机科学与信息学院,重庆,400715;电子科技大学电子工程学院,四川,成都,610054 |
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| 基金项目： | 西南师范大学校科研和教改项目 |
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| 摘 要： | 提出一种基于最优子空间进行特征提取的雷达目标识别方法.最优子空间中各座标轴在目标分离意义上是最佳的,它同时能满足最小错误分类率原则;利用最优子空间能够提取到更优的特征,改善目标识别性能.对四类目标的仿真实验结果表明了方法的有效性.
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| 关 键 词： | 雷达目标识别 一维距离像 最优子空间 |
| 文章编号： | 1005-0388(2004)06-0748-04 |
| 修稿时间： | 2003-10-31 |
Recognition of radar target based on optimal subspace using range profile |
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| ZHOU Dai-ying. Recognition of radar target based on optimal subspace using range profile[J]. Chinese Journal of Radio Science, 2004, 19(6): 748-751 |
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| Authors: | ZHOU Dai-ying |
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| Abstract: | A novel approach of radar target recognition is proposed.Though the Fisher ratio of each axis in optimal subspace may be optimal, it is possible that the subspace formed by these optimal axes is not optimal. Therefore, the optimal subspace in this paper is formed based on minimum error classification probability rule. The optimal subspace is used to extract feature of target for improving classification performance. The simulation results of four targets demonstrate the efficiency of the proposed approach. |
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| Keywords: | radar target recognition range profile optimal subspace |
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