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基于多分类器融合的雷达高分辨距离像目标识别与拒判新方法

张学峰 王鹏辉 冯博 杜兰 刘宏伟

张学峰, 王鹏辉, 冯博, 杜兰, 刘宏伟. 基于多分类器融合的雷达高分辨距离像目标识别与拒判新方法. 自动化学报, 2014, 40(2): 348-356. doi: 10.3724/SP.J.1004.2014.00348
引用本文: 张学峰, 王鹏辉, 冯博, 杜兰, 刘宏伟. 基于多分类器融合的雷达高分辨距离像目标识别与拒判新方法. 自动化学报, 2014, 40(2): 348-356. doi: 10.3724/SP.J.1004.2014.00348
ZHANG Xue-Feng, WANG Peng-Hui, FENG Bo, DU Lan, LIU Hong-Wei. A New Method to Improve Radar HRRP Recognition and Outlier Rejection Performances Based on Classifier Combination. ACTA AUTOMATICA SINICA, 2014, 40(2): 348-356. doi: 10.3724/SP.J.1004.2014.00348
Citation: ZHANG Xue-Feng, WANG Peng-Hui, FENG Bo, DU Lan, LIU Hong-Wei. A New Method to Improve Radar HRRP Recognition and Outlier Rejection Performances Based on Classifier Combination. ACTA AUTOMATICA SINICA, 2014, 40(2): 348-356. doi: 10.3724/SP.J.1004.2014.00348

基于多分类器融合的雷达高分辨距离像目标识别与拒判新方法

doi: 10.3724/SP.J.1004.2014.00348
基金项目: 

国家自然科学基金(61271024,61201292,61201283);新世纪优秀人才支持计划(NCET-09-0630);全国优秀博士学位论文作者专项资金资助项目(FANEDD-201156);中央高校基本科研业务费专项资金资助

详细信息
    作者简介:

    张学峰 西安电子科技大学雷达信号处理国家重点实验室博士研究生.2009年获西安电子科技大学电子工程学院学士学位.主要研究方向为雷达自动目标识别. E-mail:zxf0913@163.com

A New Method to Improve Radar HRRP Recognition and Outlier Rejection Performances Based on Classifier Combination

Funds: 

Supported by National Natural Science Foundation of China (61271024, 61201292, 61201283), Program for New Century Excellent Talents in University (NCET-09-0630), the Foundation for the Author of National Excellent Doctoral Dissertation of China (FANEDD-201156), and the Fundamental Research Funds for the Central Universities

  • 摘要: 由于雷达自动目标识别(Radar automatic target recognition,RATR)中库外目标的存在,评价系统性能时应综合考虑其识别性能和拒判性能. 由此本文构造了一种将分类器的输出通过最近邻分类器(Nearest neighbor,NN)进行拒判和识别的“分类器——最近邻”系统,并在拒判和识别两个阶 段分别采用多分类器融合技术以提高RATR系统的拒判和识别综合性能. 此外,文中定义了一种代价函数以衡量系统综合性能并为系统拒判工作点的选取提供依据. 进而,采用局部法和全局法两种算法确定拒判器的工作点. 实测数据实验结果验证了本文方法的有效性,两种工作点选取算法均能够显著提高识别系统的综合性能.
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出版历程
  • 收稿日期:  2012-06-26
  • 修回日期:  2012-11-25
  • 刊出日期:  2014-02-20

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