›› 2014, Vol. 27 ›› Issue (5): 153-.

• 论文 • 上一篇    下一篇

一种新型基于格基约减的MIMO检测算法

刘晓光,鲍亚川,苏斌,张帆,段世刚   

  1. (1.甘肃省电力公司 信息通信公司,甘肃 兰州 730050;2.西安电子科技大学 通信工程学院,陕西 西安 710071)
  • 出版日期:2014-05-15 发布日期:2014-05-14
  • 作者简介:刘晓光(1974—),男,高级工程师。研究方向:无线通信,电力通信。E-mail:zhangli8566102@163.com
  • 基金资助:

    国家电网公司科技项目基金资助(52272313039Q;52772313039L)

A New Lattice Reduction Aided Detection Method for MIMO System

LIU Xiaoguang,BAO Yachuan,SU Bin,ZHANG Fan,DUAN Shigang   

  1. (1.Information & Communication Company,Gansu Electric Power Corporation,Lanzhou 730050,China;2.School of Communications Engineering,Xidian University,Xi'an 710071,China)
  • Online:2014-05-15 Published:2014-05-14

摘要:

MIMO技术是LTE的关键技术,MIMO信号检测算法的选用需要在复杂度和检测性能之间取得合理的折中。将格基理论应用于MIMO检测中,能够大幅降低由于天线数增多所带来的检测复杂度过高问题,典型的格约减算法有LLL算法和Seysen算法。以上述格基约减算法为基础,引进排序串行干扰抵消和广度优先球译码K-best算法的思想,提出了一种新型的基于格基约减的MIMO检测算法——KLR_OSIC。与原有基于格基约减的检测算法相比,该算法能够在较低的计算复杂度下显著提高MIMO的检测性能。通过仿真可看出,新算法比原基于格基约减的算法性能更佳,且更接近ML算法。

关键词: 多输入多输出, 串行干扰抵消, K best球形译码, 格基约减

Abstract:

Multiple Input Multiple output (MIMO) is one of the essential technologies in LTE,and the use of MIMO signal detection requires a reasonable compromise between complexity and detection performance.High detection complexity caused by increasing number of antennas is greatly decreased by applying lattice theory in MIMO detection.There are two typical lattice theories:LLL algorithm and Seysen algorithm.Based on these lattice reduction theories,we introduce OSIC and K-best,and thus propose KLR_OSIC,a new MIMO detection algorithm based on lattice reduction.Compared with the existing detection algorithm based on lattice reduction,our algorithm improves the performance of MIMO detection with a lower calculation complexity.As shown in our simulation,the new algorithm achieves a better performance than the existing algorithms based on lattice reduction,and is closer to ML algorithm.

Key words: MIMO;SIC;K-best SD;lattice reduction;OSIC

中图分类号: 

  • TN911.73