舰载雷达近程目标抗干扰技术研究
Research on Anti-jamming Technology of Short-range Target for Shipborne Radar
陈寂驰1
作者信息
摘要
论文对舰载防御雷达系统中面临的近程抗干扰问题进行了分析,提出了一种基于波数域二维成像的目标检测识别方法.采用高分辨率二维成像增强网络检测概率,通过YOLOv5s网络提高系统的抗干扰能力.文章对这一设计思路进行了理论分析和仿真验证,证明了算法的有效性.
Abstract
In this paper,the problem of short-range anti-jamming in shipborne defense radar system is analyzed,and a target detection and recognition method based on two-dimensional imaging in wavenumber domain is proposed.The network detection probability is enhanced by high-resolution two-dimensional imaging,and the anti-interference ability of the system is improved by YOLOv5s network.In this paper,the theoretical analysis and simulation verification of this design idea are carried out,and the ef-fectiveness of the algorithm is proved.
关键词
雷达/波数域成像/抗干扰/深度学习Key words
radar/wavenumber domain imaging/radar anti-jamming/deep learning引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据