[1]姚莉娜,吴艳敏,崔光照.基于随机森林的雷达高分辨距离像目标识别新方法[J].郑州大学学报(工学版),2014,35(04):105-108.[doi:103969/j.issn.1671 -6833.2014.04.025]
YAO Lina,WU Yanmin,CUI Guangzhao.A New Radar HRRP Target Recognition Method Based on Random Forest[J].Journal of Zhengzhou University (Engineering Science),2014,35(04):105-108.[doi:103969/j.issn.1671 -6833.2014.04.025]
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基于随机森林的雷达高分辨距离像目标识别新方法(
)
《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]
- 卷:
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35
- 期数:
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2014年04期
- 页码:
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105-108
- 栏目:
-
- 出版日期:
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2014-08-30
文章信息/Info
- Title:
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A New Radar HRRP Target Recognition Method Based on Random Forest
- 作者:
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姚莉娜; 吴艳敏; 崔光照
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- Author(s):
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YAO Lina; WU Yanmin; CUI Guangzhao
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College of Eleetrie and Information Engineering, Zhengzhou University of Light Industry, 2hengzhou 450002, China
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- Keywords:
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target recognition ; high resolulion range profile ; random forest
- 分类号:
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TN959.1
- DOI:
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103969/j.issn.1671 -6833.2014.04.025
- 文献标志码:
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A
- Abstract:
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High resolution range profile ( HRRP) contains abundant target strueture information, and is widelused in radar automatie target reeognition ( RATR) area. Traditional Bayes classifier or kernel classifier basedreeognition method suffers from the model - data mismateh or huge computational burden. To solve this prob.lem, a random forest ( RF) based HRRP recognition method is proposed. Both the prineiple and algorithmproeedure of RF are introdueed in detail. Experimental results based on simulated data show that RF is superior in recognition perormanee and computation elficieney compared wih Baves classifier and kemel classifer.
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