北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2018, Vol. 41 ›› Issue (5): 149-152.doi: 10.13190/j.jbupt.2018-181

• 研究报告 • 上一篇    下一篇

一种基于EP的自适应大规模MIMO信号检测算法

欧泽良, 杨鸿文   

  1. 北京邮电大学 信息与通信工程学院, 北京 100876
  • 收稿日期:2018-08-08 出版日期:2018-10-28 发布日期:2018-11-20
  • 作者简介:欧泽良(1991-),男,博士生,E-mail:ouzeliang@bupt.edu.cn;杨鸿文(1964-),男,教授,博士生导师.

An Adaptive Massive MIMO Signal Detection Algorithm Based on Expectation Propagation

OU Ze-liang, YANG Hong-wen   

  1. School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Received:2018-08-08 Online:2018-10-28 Published:2018-11-20

摘要: 大规模天线下信号检测必须兼顾运算复杂度和性能,而传统算法难以满足要求,为此,结合循环冗余校验码,提出了一种基于期望传播的自适应大规模多输入多输出系统信号检测算法.仿真结果表明,该算法能降低运算复杂度,并保持良好的性能.

关键词: 大规模多输入多输出系统, 期望传播, 自适应, 循环冗余校验码

Abstract: Signal detection should take account of both computational complexity and performance in large-scale antenna array while traditional algorithms may not satisfy that requirement. Combined with cyclic redundancy check (CRC), an adaptive signal detection algorithm based on expectation propagation for massive multiple input multiple output (MIMO) systems was proposed. Simulation results showed that the proposed algorithm can keep good performance while reducing computational complexity.

Key words: massive multiple input multiple output, expectation propagation, adaptive, cyclic redundancy check

中图分类号: