现代雷达2025，Vol.47Issue(7)：56-64,9.DOI:10.16592/j.cnki.1004-7859.20230830003
基于Next-MetaFormer的低信噪比多径衰落LPI雷达信号识别方法
Low Signal-to-noise Ratio Multipath Fading LPI Radar Signal Recognition Based on Next-MetaFormer
李鹏程 1李广森 1陈慧龙 1姚理想 2乔娅婷3
作者信息
- 1. 北京信息科技中心,北京 100039
- 2. 国防科技大学 电子科学学院,湖南 长沙 410073
- 3. 北京计算机技术及应用研究所,北京 100089
- 折叠
摘要
Abstract
With the development of artificial intelligence technology,deep learning methods have achieved good classification re-sults in the field of low signal-to-noise ratio Low Probability of Intercept Radar(LPI)signal recognition.However,there is relative-ly little research on the recognition of multipath fading signals.This article studies the identification method of multipath fading LPI signals and proposes a low signal-to-noise ratio multipath fading LPI signal recognition method based on Next-MetaFormer(Next-MF).Using Choi-Williams distribution(CWD)to generate a two-dimensional time-frequency map of radar signals,and using the Neighbor2Neighbor self-supervised method to remove background noise in the time-frequency map,it has a good denoising effect.Using the Next Generation Vision Transformer(Next-ViT)universal architecture Next-MF network model to extract signal time-fre-quency features and achieve classification and recognition.The simulation results show that this method has high recognition accu-racy under low signal-to-noise ratio and Rayleigh multipath fading interference conditions,with an overall classification accuracy of 82.5 for 13 types of low intercept probability radar signals.The research results can provide reference for theoretical research and engineering implementation of radar signal recognition system.关键词
低截获概率雷达/Neighbor2Neighbor方法/Choi-Williams分布/瑞利衰落/信号识别Key words
low probability of intercept radar/Neighbor2Neighbor/Choi-Williams distribution/Rayleigh fading/signal recognition分类
信息技术与安全科学引用本文复制引用
李鹏程,李广森,陈慧龙,姚理想,乔娅婷..基于Next-MetaFormer的低信噪比多径衰落LPI雷达信号识别方法[J].现代雷达,2025,47(7):56-64,9.
