空间锥体目标微动特性分析与识别方法

空间锥体目标在大气层外飞行过程中存在不同的微动,目标的微动为进动,诱饵的微动为摆动或自旋.根据目标与诱饵的微动差异,提出了应用特征谱作为识别特征的分类方法.基于多散射中心信号模型,分析了进动、摆动以及自旋调制信号的微多普勒特性.分析结果表明,进动、摆动与自旋目标的微多普勒谱虽然均可以近似为线谱,但是存在明显差异.应用谐波和的形式描述回波信号,并采用特征值分解提取特征谱作为识别特征.仿真结果表明,该方法能够有效地识别目标与诱饵.

Micro-motion characteristic analysis and recognition of cone-shaped targets

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,...