【作者】 马越； 缪晨； 张若愚； 王晶琦； 吴文；

【Author】 MA Yue;MIAO Chen;ZHANG Ruoyu;WANG Jingqi;WU Wen;Key Laboratory of Near-Range RF Sensing ICs & Microsystems (NJUST),Ministry of Education;

【机构】 南京理工大学近程射频感知芯片与微系统教育部实验室；

【摘要】 针对目前无人机目标探测存在的发射功率大、积累时间长、易受杂波背景干扰等问题,本文提出了一种新体制无人机探测系统。首先给出了系统架构与工作流程,建立了信号收发模型并给出相关公式推导,同时提出相应的信号处理方法。该系统基于时间调制阵列,结合吕分布(Lv’s Distribution,LVD)分析回波信号模型,从中心频率—调频率(Centroid Frequency-Chirp Rate,CFCR)域中获取目标的有效信息,实现无人机目标的距离-多普勒估计。仿真实验验证了方法的有效性,提供了一种低复杂度的无人机目标探测思路。更多还原

【Abstract】 In response to the issues of high transmission power,long accumulation time,and susceptibility to clutter background interference in current unmanned aerial vehicle(UAV) target detection,this paper proposes a new UAV detection system.The system architecture and workflow are presented,along with the derivation of relevant formulas based on a signal transceiver model and corresponding signal processing methods.This system is based on time-modulated arrays combined with Lv’s Distribution(LVD) analysis of echo signal models,which extract effective information from the Centroid Frequency-Chirp Rate(CFCR) domain for distance-Doppler estimation of UAV targets.Finally,simulation experiments verify the effectiveness of the proposed method,providing a low-complexity approach for UAV target detection.更多还原