摘要
通信系统信道估计以通信信号实时处理为主,信道估计的过程中丢失了数据特征,影响信道估计精准度.因此,设计了基于学习内容自适应的通信系统信道估计方法.估计辅助通信系统信道反射链路,确保信道状态稳定,避免信道估计丢失数据特征.引入学习内容自适应算法,采用联合学习内容,对信道估计进行自适应学习,结合反射信号的对应复系数,构建通信系统信道估计模型.通过调整通信系统独立信道残差,优化通信系统信道估计模型实现通信系统信道估计.采用仿真实验分析该方法的性能,实验结果表示,该方法的NMSE值仅为0.030,验证该估计方法的均方误差较低,具备较高估计准确性.
Abstract
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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