现代雷达2017，Vol.39Issue(7)：34-38,5.DOI:10.16592/j.cnki.1004-7859.2017.07.008
基于自适应类别权重的HRRP决策融合识别
An Adaptive-classification-weight Decision Fusion for HRRP Recognition
摘要
Abstract
Aiming to resolving the problem of misclassification resulting from the special samples and the misjudgment of classifier in radar high resolution range profiles (HRRP),a multi-classifier decision fusion based on adaptive-classification-weight method is proposed in this paper.In this method,the K-nearest neighbors and the similarity rule are combined to select the training sample set corresponding to the testing sample,then the confusion matrix is constructed to complete the confidence calculation and screening of classifier adaptively,and finally the classification weights of targets can be obtained and classification result is outputed.Experimental results based on the measured data show that the recognition rate of the proposed method in this paper is better than any of the above classifiers and traditional decision fusions.With the increment of noise interference,the advantage of the proposed method becomes more obvious.关键词
雷达高分辨率距离像/多分类器决策融合/K-最近邻/混淆矩阵/自适应类别权重Key words
high resolution range profiles/multi-classifier decision fusion/K-nearest neighbors/confusion matrix/adaptive-classification-weight分类
信息技术与安全科学引用本文复制引用
戴为龙,张弓,刘文波,钟娟娟..基于自适应类别权重的HRRP决策融合识别[J].现代雷达,2017,39(7):34-38,5.基金项目
国家自然科学基金资助项目(61071163、61271327、61471191) （61071163、61271327、61471191）
航空基金资助项目(20152052026) （20152052026）
江苏省研究生培养创新工程(SJLX16-0109) （SJLX16-0109）
研究生创新基地(实验室)开放基金资助项目(kfjj20160401) （实验室）
中央高校基本科研业务费专项资金资助 （）
