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It becomes more and more difficult to classify the intercepted radar signals with the increasing complexity of radar signals. An efficient classification method using weighted\u2010xgboost (w\u2010xgboost) model for the complex radar signals is proposed in this study. The xgboost method is widely used by data scientists and performs very well in many machine learning projects. The authors use a large data set which consists of different types of attributes (such as continuous data, categorical data, and discrete data) to train the model. A smooth weight function is introduced to solve the data deviation problem. Experiment results show that the authors\u2019 w\u2010xgboost method achieves a better performance than several existing machine learning algorithms on the test set.<\/jats:p>","DOI":"10.1049\/iet-rsn.2016.0632","type":"journal-article","created":{"date-parts":[[2017,3,23]],"date-time":"2017-03-23T00:33:50Z","timestamp":1490229230000},"page":"1203-1207","source":"Crossref","is-referenced-by-count":84,"title":["Radar emitter classification for large data set based on weighted\u2010xgboost"],"prefix":"10.1049","volume":"11","author":[{"given":"Wenbin","family":"Chen","sequence":"first","affiliation":[{"name":"University of Chinese Academy of Sciences Beijing 100049 People's Republic of China"},{"name":"Institute of Electronics Chinese Academy of Sciences Beijing 100190 People's Republic of China"},{"name":"Key Laboratory of Technology in Geo\u2010Spatial Information Processing and Application System Chinese Academy of Sciences Beijing 100190 People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kun","family":"Fu","sequence":"additional","affiliation":[{"name":"Institute of Electronics Chinese Academy of Sciences Beijing 100190 People's Republic of China"},{"name":"Key Laboratory of Technology in Geo\u2010Spatial Information Processing and Application System Chinese Academy of Sciences Beijing 100190 People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiawei","family":"Zuo","sequence":"additional","affiliation":[{"name":"University of Chinese Academy of Sciences Beijing 100049 People's Republic of China"},{"name":"Institute of Electronics Chinese Academy of Sciences Beijing 100190 People's Republic of China"},{"name":"Key Laboratory of Technology in Geo\u2010Spatial Information Processing and Application System Chinese Academy of Sciences Beijing 100190 People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinwei","family":"Zheng","sequence":"additional","affiliation":[{"name":"Institute of Electronics Chinese Academy of Sciences Beijing 100190 People's Republic of China"},{"name":"Key Laboratory of Technology in Geo\u2010Spatial Information Processing and Application System Chinese Academy of Sciences Beijing 100190 People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tinglei","family":"Huang","sequence":"additional","affiliation":[{"name":"Institute of Electronics Chinese Academy of Sciences Beijing 100190 People's Republic of China"},{"name":"Key Laboratory of Technology in Geo\u2010Spatial Information Processing and Application System Chinese Academy of Sciences Beijing 100190 People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenjuan","family":"Ren","sequence":"additional","affiliation":[{"name":"Institute of Electronics Chinese Academy of Sciences Beijing 100190 People's Republic of China"},{"name":"Key Laboratory of Technology in Geo\u2010Spatial Information Processing and Application System Chinese Academy of Sciences Beijing 100190 People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"265","published-online":{"date-parts":[[2017,6,9]]},"reference":[{"key":"e_1_2_6_2_1","doi-asserted-by":"publisher","DOI":"10.3390\/s130100848"},{"key":"e_1_2_6_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/22.989948"},{"key":"e_1_2_6_4_1","first-page":"1","volume-title":"The identification of radar signals by histogram description leads to cluster analysis processing","author":"Zak J.","year":"2014"},{"key":"e_1_2_6_5_1","first-page":"431","volume-title":"Applying the radiated emission to the emitter identification","author":"Dudczyk J.","year":"2004"},{"key":"e_1_2_6_6_1","doi-asserted-by":"publisher","DOI":"10.1049\/el.2014.1458"},{"key":"e_1_2_6_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/CJECE.2015.2496143"},{"issue":"3","key":"e_1_2_6_8_1","first-page":"623","article-title":"Identification of emitter sources in the aspect of their fractal features","volume":"61","author":"Dudczyk J.","year":"2013","journal-title":"Bull. 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