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基于无人机群的频率步进雷达数字信号无源定位方法 被引量:3

Passive location method of digital signal of frequency stepping radar based on unmanned aircraft group
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摘要 雷达与无人机均具有隐蔽性强、抗干扰性强等优势,是现代军事作战中的关键设备之一。已有无源定位方法存在着目标定位误差较大的缺陷,无法满足现今战事的需求,提出基于无人机群的频率步进雷达数字信号无源定位方法研究。确定与分析无人机群接收信号表示形式,应用无人机群采集雷达数字信号,以此为基础,搭建频率步进雷达数字信号无源定位框架,结合无人机群位置、速度等相关参数信息,构建无源定位数学模型(目标状态模型与目标观测模型),结合使用EKF算法与UKF算法求解无源定位数学模型,获得目标定位信息,从而实现频率步进雷达数字信号的无源定位。实验数据显示:相较于对比方法,提出方法获得的无源定位误差曲线收敛时间更短,定位误差数值更小,充分证实提出方法无源定位效果更好。 Radar and UAV have the advantages of strong concealment and anti-jamming.They are one of the key equipment in modern military operations.The existing passive location methods have the defects of large target location error and can not meet the needs of today’s war.A frequency stepping radar digital signal passive location method based on UAV group is proposed.The received signal representation of UAV group,apply UAV group is determined and analyzed to collect radar digital signals,the passive positioning framework of frequency stepping radar digital signals,and the passive positioning mathematical model(target state model and target observation model)are build in combination with the position,speed and other relevant parameter information of UAV group,EKF algorithm and UKF algorithm are combined to solve the passive location mathematical model and obtain the target location information,so as to realize the passive location of digital signal of frequency stepping radar.The experimental data show that compared with the comparison method,the convergence time of the passive location error curve obtained by the proposed method is shorter and the location error value is smaller,which fully proves that the proposed method has a better passive location effect.
作者 张莞玲 赵莲莲 ZHANG Wan ling;ZHAO Lian lian(Xi’an Aeronautical Polytechnic Institute,Xi’an 710089,China)
出处 《自动化与仪器仪表》 2022年第6期61-65,共5页 Automation & Instrumentation
基金 陕西省教育厅研究课题:《基于现代学徒制的高职学生职业素养养成实践与探究》(21JK0199)。
关键词 无人机群 频率步进雷达 数字信号 无源定位 站址误差 时差频差 UAV group frequency stepping radar digital signal passive location station location error time difference and frequency difference
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