[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]
Copy
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.