强激光与粒子束2024,Vol.36Issue(4):145-152,8.DOI:10.11884/HPLPB202436.230302
基于VMD自适应模态重组的光学下变频信号分离方法
Optical down-conversion signal separation method based on VMD adaptive modal recombination
孙世腾 1谢树果 1宋雨杭 1濮晗春1
作者信息
- 1. 北京航空航天大学电子信息工程学院,北京 100191
- 折叠
摘要
Abstract
Optical down-conversion technology can simultaneously down-convert all electromagnetic signals within a wide frequency band to the low-frequency range for reception,and is a new type of fast reception technology for broadband electromagnetic environments.However,the obtained optical down-conversion signal contains multiple signals with unknown number of sources and different bandwidths.Existing signal separation methods need to know the number of source signals and cannot simultaneously separate narrowband and broadband signals.To achieve automatic separation of optical down-conversion signals,a method for optical down-conversion signal separation based on VMD adaptive mode recombination is proposed.By using spectral segmentation factors and spectral envelope detection,the VMD over decomposition modes of optical down-conversion signals are automatically recombined and signal recombination modes are extracted,achieving the separation of optical down-conversion signals.For optical down-conversion signals containing ordinary pulse signals,WCDMA signals,and linear frequency modulation pulse signals,this method can automatically separate the three types of signals,and the similarity coefficients with the original signal are all higher than 0.97.The experimental results show that the method proposed in this paper does not need to know the number of source signals when separating optical down-conversion signals,and can simultaneously separate multiple source signals with different bandwidths.关键词
变分模态分解/光学下变频/单通道信号分离/频谱分割因子/频谱包络检测Key words
variational mode decomposition/optical down-conversion/single channel signal separation/spectrum segmentation factor/spectrum envelope detection分类
信息技术与安全科学引用本文复制引用
孙世腾,谢树果,宋雨杭,濮晗春..基于VMD自适应模态重组的光学下变频信号分离方法[J].强激光与粒子束,2024,36(4):145-152,8.