| 离散贝叶斯分类算法雷达目标一维距离像识别 |
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| 引用本文： | 周德全,郭艳清.离散贝叶斯分类算法雷达目标一维距离像识别[J].电光与控制,2007,14(5):79-81. |
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| 作者姓名： | 周德全 郭艳清 |
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| 作者单位： | 中原工学院电子信息学院,郑州,451191 |
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| 摘 要： | 首先讨论了传统贝叶斯分类器设计方法的局限性,然后提出了离散贝叶斯分类算法,并推导了离散贝叶斯分类器的分类误差估算公武.用大量的实测高分辨雷达目标回波数据进行计算机模拟,离散贝叶斯分类算法获得了平均94.33%的正确识别率,分类误差估算公式估算的分类误差为5.23%.计算机模拟结果表明了该方法的有效性.
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| 关 键 词： | 贝叶斯 分类器 雷达目标识别 一维距离像 误差 |
| 文章编号： | 1671-637X（2007）05-0079-03 |
| 修稿时间： | 2006-01-29 |
Range profile-based radar target recognition using discretized Bayes classifying algorithm |
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| ZHOU De-quan,GUO Yan-qing.Range profile-based radar target recognition using discretized Bayes classifying algorithm[J].Electronics Optics & Control,2007,14(5):79-81. |
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| Authors: | ZHOU De-quan GUO Yan-qing |
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| Abstract: | The limitation of traditional designing methods of Bayes classifier is discussed at first.Then the algorithm of discrete Bayes classifier is proposed,and formulas for estimating classifying error of Bayes classifier are deduced.A computer simulation was carried out by using a large quantity of measured high-resolution radar return data of the target,an average correct identification rate of 94.33% and estimating classifying error of 5.23% were obtained.The results showed that the algorithm and formulas are correct and effective. |
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| Keywords: | Bayes classifiers radar target recognition range profiles error |
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