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A New Radar HRRP Target Recognition Method Based on Random Forest
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[1]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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Journal of Zhengzhou University (Engineering Science)[ISSN 1671-6833/CN 41-1339/T] Volume: 35卷 Number of periods: 2014 04 Page number: 105-108 Column: Public date: 2014-08-30
Title:
A New Radar HRRP Target Recognition Method Based on Random Forest
Author(s):
YAO Lina; WU Yanmin; CUI Guangzhao
College of Eleetrie and Information Engineering, Zhengzhou University of Light Industry, 2hengzhou 450002, China
Keywords:
target recognition ; high resolulion range profile ;  random forest
CLC:
TN959.1
DOI:
103969/j.issn.1671 -6833.2014.04.025
Abstract:
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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