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作 者:刘旭阳[1] LIU Xu-yang(Henan University,Kaifeng Henan 475001,China)
机构地区:[1]河南大学,河南开封475001
出 处:《通信技术》2020年第11期2653-2657,共5页Communications Technology
摘 要:随着天线的增多,信道矩阵维度越来越高,信道更加复杂,发送端的前向预编码和接收端的信号检测都需要用到信道状态信息。可见,信道估计和均衡质量对于5G通信系统是否可以实现超高频谱利用率的目标至关重要。在5G通信技术快速发展的背景下,通信行业越来越关注信号传输的速度和完整性。大规模MIMO技术是5G通信的核心技术,可以成倍增加通信容量,并显著抑制信道衰落。因此,基于5G移动技术发展现状,探讨5G通信信道的估计与均衡,提出了改进的LMMSE信道估计算法以及两种改进的信道均衡算法。With the increase of antennas,the dimension of the channel matrix is getting higher and higher,and the channel is more complex.The forward precoding at the transmitting end and the signal detection at the receiving end both need channel state information.It can be seen that channel estimation and equalization quality are crucial to whether the 5G communication system can achieve the goal of ultrahigh spectrum utilization.In the context of the rapid development of 5G communication technology,the communication industry is paying more and more attention to the speed and integrity of signal transmission.Large-scale MIMO technology is the core technology of 5G communication,which can double the communication capacity and significantly suppress channel fading.Therefore,based on the development status of 5G mobile technology,this paper discusses the estimation and equalization of 5G communication channels,and proposes an improved LMMSE channel estimation algorithm and two modified channel equalization algorithms.
分 类 号:TN915[电子电信—通信与信息系统]
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