UAV Detection and Positioning Based on 5G Base Station Real Aperture in 5G Network

Changyu Lou, Jingcheng Zhao, Ke Zhang, Yanhan Li, Tao Hong
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引用次数: 0

Abstract

In this article is proposed image processing method for UAV (Unmanned Aerial Vehicle) groups detection and location in fifth-generation (5G) network. The imaging processing method realizes two-dimensional positioning imaging through the real aperture imaging of 5g base station radar array. Wide-band radar has a high-resolution capability and can be used to obtain position information of targets in the detection area. Simulation of the point target combination in software MATLAB was created and shows the number and orientation information of UAV in the group. The simulation results show that both circular array and linear array of base station radar can detect and locate UAV. But the image quality of circular array is better than that of line array.
5G网络中基于5G基站实孔径的无人机检测定位
本文提出了第五代(5G)网络中无人机(UAV)群检测与定位的图像处理方法。该成像处理方法通过5g基站雷达阵列的实孔径成像实现二维定位成像。宽带雷达具有高分辨率的能力,可用于获取探测区域内目标的位置信息。在MATLAB软件中建立了点目标组合仿真,显示了群中无人机的数量和方向信息。仿真结果表明,圆形阵列和线性阵列的基站雷达都能对无人机进行探测和定位。但圆形阵列的成像质量优于直线阵列。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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