摘要
为了松弛高分辨距离像 (HRRP)的方位敏感性 ,传统的雷达HRRP目标识别方法大都采用目标在一定方位角域内的平均像作为方位模板 .实际上 ,距离像的幅度起伏特性也包含了一定的目标特征信息 .本文基于散射点模型理论 ,提出了一种利用距离像幅度起伏特性的特征提取新方法 .新方法提取的加权距离像特征反映了各个距离单元内目标散射点的分布情况 ,可以更好地描述目标散射特性 .基于外场实测数据的识别实验结果表明 ,新的特征提取方法可以大幅度地提高识别性能 .
Due to the aspect sensitivity of high-resolution range profile (HRRP),tradition al radar HRRP target recognition methods usually use average profile within some aspect region as aspect template.Actually,the amplitude fluctuation property of HRRPs also represents some feature information of target.According to the scatt ering center model,a new feature extraction method using the amplitude fluctuati on property of HRRPs is proposed in this paper.The weighted HRRP extracted by th e new method can represent the scatterer distribution in every range cell,thereb y it can describe the scattering property of target better.The experimental resu lts based on the measured data show that the new feature extraction method can i mprove recognition performances greatly.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2005年第3期411-415,共5页
Acta Electronica Sinica
基金
国家自然科学基金 (No .60 30 2 0 0 9
No .60 4 0 2 0 39)
国防"十五"武器装备预先研究计划 (No .41 30 70 50 1 )
关键词
雷达自动目标识别
高分辨距离像
特征提取
散射点模型
平均像
方差像
radar automatic target recognition (RATR)
high-resolution range profile (HRRP)
feature extraction
scattering center model
average profile
variance profile
