基于DiffBIR模型宽带信号盲检测性能优化OA

[Objective]Aiming at the problem of poor blind detection effect of non-cooperative broadband signal in low Sig-nal-to-Noise Ratio(SNR)environment,this study aims to improve signal detection performance through innovative preprocessing strategies to ensure communication reliability and stability in complex electromagnetic environment.[Methods]A novel signal preprocessing and detection framework is proposed,the core of which is the Blind Image Restoration with Generative Diffusion Prior(DiffBIR)model.DiffBIR model is an advanced image processing method which integrates de-noising,de-blurring and su-per-resolution techniques.A literature review confirms that the application of this model in the optimization of time-frequency graphs for wideband received signals has not been publicly reported,making it innovative.In the specific implementation,DiffBIR processing is first used to enhance the signal time-frequency characteristics.Then the connected component analysis algorithm in-tegrated with Matlab platform is used to fine signal detection,in order to achieve more accurate signal recognition in the low SNR scenario.[Results]Experimental verification showed that under the low SNR test conditions of-15～-25 dB,compared with the traditional non-optimized method,the detection accuracy rate was increased by 133%,the recall rate was increased by 32%,and the F1 score of the comprehensive evaluation index was also increased by 139%.These data clearly reflect that DiffBIR pre-treated signals can significantly improve detection accuracy while maintaining high recall.[Conclusion]In this study,a set of broadband signal blind detection technology system based on DiffBIR model is successfully constructed,which effectively over-comes the challenge of signal detection in low SNR environment.This technology not only greatly enhances the detectability and identification accuracy of signals,but also shows its potential application in complex electromagnetic environment in practice.It provides a new theoretical basis and technical approach for signal processing of military and civil communication systems,and has important theoretical value and practical significance.