西安电子科技大学学报（自然科学版）2011，Vol.38Issue(2)：105-111,7.DOI:10.3969/j.issn.1001-2400.2011.02.019
空间锥体目标微动特性分析与识别方法
Micro-motion characteristic analysis and recognition of cone-shaped targets
摘要
Abstract
When the cone-shaped target is flying in exo-atmosphere, the micro-motion of the target belongs to a precession and that of the decoy belongs to a spin or a wobble. Because they are different in micro-motion,the characteristic spectrum is extracted as a recognition feature. The paper models multi-section radar signals and analyzes the micro-Doppler signature of the warhead and the decoy. Although the micro-Doppler Spectrum of precession targets, wobble targets and spin targets is approximated as a line-Spectrum, but there is a significant difference. Based on the harmonic model, eigenvalue decomposition is applied to compute the eigenvalue as the recognition feature. Simulation proves that the method is effective.关键词
雷达目标识别/微动/特征谱/进动/摆动/自旋分类
信息技术与安全科学引用本文复制引用
关永胜,左群声,刘宏伟,杜兰,李彦兵..空间锥体目标微动特性分析与识别方法[J].西安电子科技大学学报（自然科学版）,2011,38(2):105-111,7.基金项目
长江学者和创新团队发展计划资助项目(IRT0954) （IRT0954）
国家自然科学基金资助项目(60772140,60901067) （60772140,60901067）
国家部委预研项目及国家部委预研基金联合资助项目 （）
