Suppressed Interference Recognition Algorithm Based on Gray-time Domain Diagram and FFA Transformer Network
At present,when the residual network interference identification algorithm of the frequency domain structure is extracting the suppressed interference characteristics,the generalization ability is weak,and the noise ratio is greatly affected by the low noise ratio.To this end,for the 5-type spectrum diagrams similar to the suppressed interference signals,a suppressed interference identification algorithm is proposed based on gray time domain diagram and Fused Feature Aware Transformer(FFA-Transformer)network.Constructing the one-dimensional time domain signal to the gray time domain diagram that reflects the signal characteristics so that the FFA-Transformer can extract more signal features.And construct FFA-Transformer network to recognition of five types of suppressed interference signals,which combines global and local features of encoder output by weighted average.Focusing on the local characteristics and edges such as texture and edges,etc.,it has strengthened the correlation between global characteristics and local characteristics.Compared with the traditional ViT network and traditional CNN network training spectrum diagram and time domain map,it can achieve high-precision recognition of five types of suppressed interference signals.
FFA-Transformersuppressed interference identificationgray time domain diagram
NETL
NSTL
万方数据
