空天预警研究学报2024，Vol.38Issue(4)：269-273,279,6.DOI:10.3969/j.issn.2097-180X.2024.04.007
基于高分辨雷达距离像降维双谱特征的舰船目标识别
Ship target recognition based on reduced dimensionality integration bispectra feature of high-resolution radar range profiles
姚国伟 1葛美星 1王弼 1高森1
作者信息
- 1. 中国电子科技集团公司第三十八研究所,合肥 230088
- 折叠
摘要
Abstract
In order to address the issue of using high-resolution radar range profiles(HRRPs)for ship target recognition,this paper investigates the differences in the performance of ship target recognition using four reduced dimensionality integration bispectra features including axially integrated bispectra(AIB),radially integrated bispectra(RIB),circularly integrated bispectra(CIB)and selected bispectra.Firstly,different reduced dimensional-ity integration bispectra are used to extract the features from ship target HRRP,and then support vector machine(SVM)is used to classify and recognize the extracted features.Finally,the effects of different feature vector lengths and training sample sizes on the recognition performance of different reduced dimensionality integration bispectra are analyzed through simulation and experiment.Simulation and experimental results show that when achieving optimal recognition performance,different reduced dimensionality integration bispectra require differ-ent feature vector lengths and training sample sizes to be selected.关键词
高分辨雷达距离像/降维双谱/舰船目标识别Key words
HRRP/reduced dimensionality integration bispectra/ship target recognition分类
信息技术与安全科学引用本文复制引用
姚国伟,葛美星,王弼,高森..基于高分辨雷达距离像降维双谱特征的舰船目标识别[J].空天预警研究学报,2024,38(4):269-273,279,6.
