计算机工程

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大规模天线系统中低复杂度的解码方法研究

郑先侠,王海泉,李飞,营梦云,周玫君   

  1. (杭州电子科技大学 通信工程学院,杭州 310016)
  • 收稿日期:2016-09-23 出版日期:2017-10-15 发布日期:2017-10-15
  • 作者简介:郑先侠(1990—),男,硕士研究生,主研方向为大规模天线系统、信号处理;王海泉,教授、博士;李飞、营梦云、周玫君,硕士研究生。
  • 基金项目:
    国家自然科学基金(61372093)。

Research on Low-complexity Decoding Method in Massive Antenna System

ZHENG Xianxia,WANG Haiquan,LI Fei,YING Mengyun,ZHOU Meijun   

  1. (School of Communication Engineering,Hangzhou Dianzi University,Hangzhou 310016,China)
  • Received:2016-09-23 Online:2017-10-15 Published:2017-10-15

摘要: 针对传统大规模天线系统中线性信道估计和线性解码计算复杂度较高的问题,根据系统特性提出2种低复杂度的解码方法。利用系统中信道的渐近正交性设计快速解码方法,避免求解信道矩阵的逆矩阵。结合增加基站天线数可优化用户信道的特点设计简单算子解码方法,实现直接解码而无需估计信道。仿真结果表明,2种解码方法均能在保证系统性能的同时有效降低计算复杂度。

关键词: 大规模天线系统, 线性解码, 计算复杂度, 快速解码, 简单算子解码

Abstract: In massive antenna system,the computational complexities of linear channel estimation and linear decoding are higher.Aiming at this problem,two low-complexity decoding methods are proposed according to the characteristics of massive antenna system.A fast decoding method is designed by using the asymptotic orthogonality of the channel in the system,which avoids solving the inverse matrix of the channel matrix.Since the increased number of Base Station(BS) can optimize the user’s channel,a simple operator decoding method which realizes direct decoding without estimating the channel is designed.Simulation results show that these two decoding methods can reduce the computational complexity effectively while maintaining the system performance.

Key words: massive antenna system, linear decoding, computational complexity, fast decoding, simple operator decoding

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