无人机微多普勒特征实时提取的FPGA实现  

Real-time extraction of UAV micro-Doppler features using FPGA

作　　者：莫禹涵 郭立民[1] MO Yuhan;GUO Limin(College of Information and Communication Engineering,Harbin Engineering University,Harbin 150001,China)

机构地区：[1]哈尔滨工程大学信息与通信工程学院,黑龙江哈尔滨150001

出　　处：《应用科技》2021年第2期33-41,共9页Applied Science and Technology

摘　　要：小型无人机具有高度低、速度慢、机动性强和可悬停等特点,给雷达探测无人机目标带来了很大的困难。为解决此问题,本文立足于实际的线性调频连续波(LFMCW)雷达系统,利用现场可编程逻辑门阵列(FPGA)的并行处理能力,通过对数据进行流水线处理和乒乓操作来替代传统的串行处理器实现动目标指示(MTI)和动目标检测(MTD)算法,实现了高速实时的无人机微多普勒信息提取。并通过对实测的FPGA处理结果进行分析,进而验证其正确性,为雷达系统全天候、自动化地监测低空非合作无人机提供了解决思路。Small unmanned aerial vehicles(UAVs)have the characteristics of low altitude,low speed,high mobility,and hovering capability,which brings great difficulties to radar detection.To solve this problem,based on the actual linear frequency modulated continuous wave(LFMCW)radar system,and parallel process capability of the field programmable gate array(FPGA),in this paper,the pipelined processing and ping-pong operation are used to replace traditional serial processor to achieve the moving target indication(MTI)and moving target detection(MTD)algorithms,realizing the high-speed real-time micro-Doppler information extraction from UAVs.The correctness is verified by analyzing the actually tested FPGA processing results.It provides a solution for the radar system to monitor low-altitude non-cooperative drones automatically in all-weather condition.

关 键 词：现场可编程逻辑门阵列 线性调频连续波雷达 微多普勒 无人机 流水线处理 乒乓操作 动目标指示 动目标检测 

分 类 号：TN958.95[电子电信—信号与信息处理]