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2. College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China, fund=null, authors=LIU Xubo¹, LIU Jingshu¹, LIU Bin², Qin Lingling², CHEN Tao², authorsList=LIU Xubo, LIU Jingshu, LIU Bin, Qin Lingling, CHEN Tao), CN=ArticleExt(id=1242137692268475369, articleId=1242137689181467597, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=随机森林分类用于雷达信号预分选新算法研究, columnId=1242137113915891796, journalTitle=科技导报, columnName=专题：体系工程, runingTitle=null, highlight=null, articleAbstract=现代战争中，雷达电子战环境越来越复杂，随着雷达种类的多样化和雷达脉间调制方式的复杂化，对信号分选的识别难度也愈加增大。本研究采用随机森林算法对脉冲描述字特征进行预分选，可自适应的对特征进行选择，并实现分类。随机森林由于可以自动进行特征选择，可对不平衡的数据进行误差平衡等优点，通过多决策树表决方式，可以迅速完成对大量数据快速训练。在脉冲丢失导致的部分特征损失的情况下，仍可以维持识别准确率。通过实验证明了本方法对雷达脉冲描述字特征进行预分选的有效性。, correspAuthors=null, authorNote=刘旭波,工程师,研究方向为信号处理,电子信箱:liujingshux@163.com, correspAuthorsNote=陈涛(通信作者),教授,研究方向为电子对抗与信号检测,电子信箱:chentao@hrbeu.edu.cn, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=heYSLZxW5SS9TZc/yd49fg==, pdfFileSize=1360114, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, authorCompany=1. 中国人民解放军 91977部队, 北京 102200;
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