吉林大学学报(工学版) ›› 2014, Vol. 44 ›› Issue (3): 861-866.doi: 10.13229/j.cnki.jdxbgxb201403045

• 论文 • 上一篇    下一篇

MIMO-OFDM系统的联合估计检测算法

高敬鹏,赵旦峰,周相超,付芳   

  1. 哈尔滨工程大学 信息与通信工程学院, 哈尔滨 150001
  • 收稿日期:2012-11-12 出版日期:2014-03-01 发布日期:2014-03-01
  • 通讯作者: 赵旦峰(1961),男,教授,博士生导师.研究方向:信道编码与信号估计.E-mail:zhaodanfeng@hrbeu.edu.cn E-mail:gjpmcu@126.com
  • 作者简介:高敬鹏(1980),男,博士研究生,讲师.研究方向:同步,信道估计与信号检测.E-mail:gjpmcu@126.com
  • 基金资助:
    “十一五”国防预研基金项目(xxxx607010102);中央高校基本科研业务费专项基金项目(HEUCF100814).

Joint estimation and detection algorithm in MIMO-OFDM systems

GAO Jing-peng,ZHAO Dan-feng,ZHOU Xiang-chao,FU Fang   

  1. College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001,China
  • Received:2012-11-12 Online:2014-03-01 Published:2014-03-01

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摘要： 针对最大似然检测算法复杂度高,最小二乘信道估计性能较差等缺陷,提出了一种SAGE-IGQS联合估计检测算法,该算法使用LS算法进行信道初始化,采用SAGE算法进行信道迭代估计,并结合改进的Grover量子搜索算法进行信号检测,从而提高了系统的有效性。理论研究和仿真结果表明:该算法在降低系统复杂度的情况下,误比特率性能优于传统的联合检测算法,与理想信道估计下的最大似然检测算法相接近。

关键词: 信息处理技术, 多输入多输出-正交频分复用, 联合估计检测, SAGE算法, 改进的Grover量子搜索算法, 信道估计

Abstract: To overcome the disadvantages of high computational complexity of maximum likelihood detection algorithm and the poor performance of the Least Square (LS) channel estimation, a new joint estimation and detection algorithm is proposed. In order to improve the system effectiveness, LS algorithm is applied to initialize channel and Space-alternating Generalized Expectation-maximization (SAGE) algorithm is employed to process channel iterative estimation. The proposed algorithm combines the improved Grover quantum search algorithm in signal detection. Theoretical study and simulation results show that bit error rate performance of proposed algorithm is better than that of traditional joint detection algorithm. Ideal channel estimation under the maximum likelihood algorithm can be approached by the proposed algorithm with low complexity.

Key words: information processing, MIMO-OFDM, joint estimation and detection, SAGE algorithm, improved Grover&apos, s quantum search algorithm, channel estimation

中图分类号: 

  • TN911.23
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