计算机工程 ›› 2013, Vol. 39 ›› Issue (2): 81-84.doi: 10.3969/j.issn.1000-3428.2013.02.016

• 网络与通信 • 上一篇    下一篇

一种低复杂度MIMO球形检测算法

李世平,苗承强,刘立京   

  1. (东北大学信息科学与工程学院,沈阳 110819)
  • 收稿日期:2012-03-30 修回日期:2012-05-22 出版日期:2013-02-15 发布日期:2013-02-13
  • 作者简介:李世平(1960-),男,副教授,主研方向:信号处理;苗承强、刘立京,硕士研究生

A Sphere Detection Algorithm with Low Complexity for MIMO

LI Shi-ping, MIAO Cheng-qiang, LIU Li-jing   

  1. (College of Information Science and Engineering, Northeastern University, Shenyang 110819, China)
  • Received:2012-03-30 Revised:2012-05-22 Online:2013-02-15 Published:2013-02-13

摘要: 针对球形译码检测算法在信噪比较低时复杂度大的问题,提出一种新型球形检测算法。通过使用一个压缩因子对低信噪比时的球半径进行抑制,同时结合最小均方误差检测算法降低算法复杂度。仿真结果表明,在信噪比低于10 dB时,该算法相对传统球形译码算法,复杂度平均降低10%左右,并且性能损失较少。

关键词: 多输入多输出, 球形译码算法, 压缩因子, 算法复杂度, 最小均方误差算法, 最大似然检测

Abstract: The complexity of sphere detection algorithm is high when the Signal to Noise Ratio(SNR) is low. For this problem, a new type of detection algorithm of sphere decoder is proposed. The new algorithm reduces the radius of sphere when the SNR is low by using the Minimum Mean Square Error(MMSE) algorithm and a compressibility factor. With the result of simulation, it shows that when the SNR is less than 10 dB, the proposed algorithm reduces the average complexity by 10% compared with original sphere decoding algorithm and does not cause obvious loss of performance.

Key words: Multiple-Input Multiple-Output(MIMO), sphere decoder algorithm, compressibility factor, algorithm complexity, Minimum Mean Square Error(MMSE) algorithm, maximum-likelihood detection

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