基于学习内容自适应的通信系统信道估计方法研究  

Research on communication system channel estimation method based onlearning content adaptive

作　　者：郭松涵 GUO Songhan(Changzhou University,Jingjiang 213159,China)

机构地区：[1]常州大学,江苏靖江213159

出　　处：《长江信息通信》2024年第1期52-54,60,共4页Changjiang Information & Communications

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。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 channel estimation method based on learning content is designed.Estimation of auxiliary communication system channel reflection link to ensure stable channel state and avoid lost data characteristics in channel estimation.The channel estimation model of communication system is constructed by introducing the learning content adaptive algorithm and adopting the joint learning content.By adjusting the independent channel residuals of communication system,the channel estimation model of communication system is optimized to realize the channel estimation of communication 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.

关 键 词：学习内容自适应 通信 信道估计方法 

分 类 号：TN911.23[电子电信—通信与信息系统]