国防科技大学学报2026，Vol.48Issue(4)：107-116,10.DOI:10.11887/j.issn.1001-2486.25050022
基于扩散生成的瞬时窄带时频混叠信号智能分离方法
Intelligent separation method for instantaneous narrowband time-frequency aliasing signals based on diffusion generation
摘要
Abstract
Aiming at the problems that current signal separation methods usually require a known number of signal components and have poor separation performance in the case of severe aliasing such as crossover in the time-frequency domain,an intelligent signal separation method based on diffusion generation was proposed.Firstly,perform semantic segmentation on the time-frequency graph of the aliased signal to obtain each signal region corresponding to the non-overlapping parts of time and frequency,and form a signal mask.Furthermore,the time-frequency graph of the single-component signal was obtained based on the mask,and after the inverse time-frequency transformation,the single-component signal with missing parts was obtained.Finally,taking this as a condition,the improved latent diffusion model was concatenated with noise.The improved model achieved the reconstruction of each signal component by removing the training module of latent variables,improving the network parameters,and designing the loss function.The proposed method does not require the known number of signal components.Experimental results show that it can adapt to three FM signal aliasing scenarios.When there is severe overlap in the time-frequency domain and the signal-to-noise ratio is 10 dB,the correlation coefficient between each separated signal component and the original signal is higher than 0.98.关键词
信号识别/盲源分离/信号重构/条件扩散模型Key words
signal recognition/blind source separation/signal reconstruction/conditional diffusion model分类
信息技术与安全科学引用本文复制引用
李静,柴恒,晋本周,李建峰,张小飞..基于扩散生成的瞬时窄带时频混叠信号智能分离方法[J].国防科技大学学报,2026,48(4):107-116,10.基金项目
国家自然科学基金资助项目(62371230) （62371230）
