In order to address the issue of signal mixed with co-channel interference in an intelligent reflecting surface(IRS)-assisted wireless communication system,FastICA blind source separation(BSS)algorithm with wavelet threshold denoising is proposed.The observed signal is denoised by the wavelet threshold to filter the noise in wireless communication environment,and the FastICA algorithm based on the maximum negative entropy is adopted to process the mixed signal after de-noising,and to realize the separation and extraction of the communication signal and the interfer-ence signal.Simulation results demonstrate that this algorithm enhances the signal-to-interference-plus-noise ratio(SINR)in the communication system,and can successfully separate the co-channel interference signal in IRS assisted wireless communication systems.
维普
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