电讯技术2017，Vol.57Issue(8)：892-895,4.DOI:10.3969/j.issn.1001-893x.2017.08.007
基于支持向量机的多特征目标抗干扰检测技术
Multi-feature Target Anti-interference Detection Based on Support Vector Machine
陈俊1
作者信息
- 1. 中国西南电子技术研究所,成都610036
- 折叠
摘要
Abstract
Chaff interference can bring many difficulties in target detection. Addressing on this problem, a classification algorithm is proposed in this paper. The multi-features of targets and chaffs are analyzed and extracted firstly. Then, a polarized eigenvector is designed. Finally, support vector machine ( SVM ) ap-proach is applied and through data training,good classification results are achieved. The simulation results demonstrate that the proposed method has good anti-chaff -interference ability and the correct detection probability is greater than 90% at most time.关键词
多特征目标/雷达回波/抗干扰检测/支持向量机Key words
multi-feature target/radar echo/anti-interference detection/support vector machine( SVM)分类
信息技术与安全科学引用本文复制引用
陈俊..基于支持向量机的多特征目标抗干扰检测技术[J].电讯技术,2017,57(8):892-895,4.
