基于低分辨雷达系统的无人机微多普勒特征分析  

An Analysis of Micro-Doppler Signature of UAV Based on Low-Resolution Radar System

作　　者：李秋菊 朱东方 LI Qiuju;ZHU Dongfang

机构地区：[1]陆军装备部驻西安地区军事代表局驻郑州地区军事代表室,郑州河南450000

出　　处：《科技创新与应用》2020年第31期5-8,共4页Technology Innovation and Application

摘　　要：小型无人机具有体积小、飞行速度慢、飞行高度低的特点,而基于低分辨雷达获取的回波信号在很短的驻留时间内获得,包含的目标信息有限,因此使用低分辨雷达系统对其进行分类是一项具有挑战性的任务。文章从微多普勒特征的角度分析了无人机目标回波信号,包括对单个旋翼回波建模,多普勒谱和时频谱的微动特性分布。实测数据分析表明,回波信号除包含无人机机身的平动频率分量,还可观测到旋翼产生的微多普勒分量。Small unmanned aerial vehicle(UAV)has the characteristics of small size,slow flight speed and low flight altitude.Based on low-resolution radar,the echo signals contain limited target information under the condition of low range resolution and short dwell time.Therefore,it is a challenging task to realize UAV classification by using low-resolution radar system.In this paper,we analyze the micro-Doppler signature of UAV target,including the echo modeling of single rotor and the micro-motion feature distribution of Doppler spectrum.The measured data analysis shows that the echo signal contains not only the translational frequency component generated by UAV fuselage,but also the micro-Doppler component by rotor.

关 键 词：无人机 微多普勒特征 时频分析 低分辨雷达 

分 类 号：TN957.51[电子电信—信号与信息处理]