Research on communication system channel estimation method based on learning content adaptive
Communication system channel estimation is mainly based on real-time processing of communication signals.Data characteristics are lost in the process of channel estimation,which affects the accuracy of channel estimation.Therefore,an adaptive communication system chan-nel estimation method based on learning content is designed.Estimation of auxiliary communi-cation system channel reflection link to ensure stable channel state and avoid lost data characteris-tics in channel estimation.The channel estimation model of communication system is construc-ted by introducing the learning content adaptive algorithm and adopting the joint learning con-tent.By adjusting the independent channel residuals of communication system,the channel esti-mation model of communication system is optimized to realize the channel estimation of com-munication system.Simulation experiments are used to analyze the performance of the method.Experimental results show that the NMSE value of the method is only 0.030,which verifies that the estimation method has low mean square error and high estimation accuracy.
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