中国邮电高校学报(英文) ›› 2008, Vol. 15 ›› Issue (2): 56-59.doi: 1005-8885 (2008) 02-0056-04

• Wireless • 上一篇    下一篇

Combined simplified maximum likelihood and sphere decoding algorithm for MIMO system

张磊 袁婷婷 张欣 杨大成   

  1. School of Telecommunication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • 收稿日期:2007-09-04 修回日期:1900-01-01 出版日期:2008-06-30
  • 通讯作者: 张磊

Combined simplified maximum likelihood and sphere decoding algorithm for MIMO system

ZHANG Lei, YUAN Ting-ting, ZHANG Xin, YANG Da-cheng   

  1. School of Telecommunication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Received:2007-09-04 Revised:1900-01-01 Online:2008-06-30
  • Contact: ZHANG Lei

摘要:

In this article, a new system model for sphere decoding (SD) algorithm is introduced. For the multiple- input multiple-out (MIMO) system, a simplified maximum likelihood (SML) decoding algorithm is proposed based on the new model. The SML algorithm achieves optimal maximum likelihood (ML) performance, and drastically reduces the complexity as compared to the conventional SD algorithm. The improved algorithm is presented by combining the sphere decoding algorithm based on Schnorr-Euchner strategy (SE-SD) with the SML algorithm when the number of transmit antennas exceeds 2. Compared to conventional SD, the proposed algorithm has low complexity especially at low signal to noise ratio (SNR). It is shown by simulation that the proposed algorithm has performance very close to conventional SD.

关键词:

maximum;likelihood;decoding,;sphere;decoding,;MIMO,;complexity

Abstract:

In this article, a new system model for sphere decoding (SD) algorithm is introduced. For the multiple- input multiple-out (MIMO) system, a simplified maximum likelihood (SML) decoding algorithm is proposed based on the new model. The SML algorithm achieves optimal maximum likelihood (ML) performance, and drastically reduces the complexity as compared to the conventional SD algorithm. The improved algorithm is presented by combining the sphere decoding algorithm based on Schnorr-Euchner strategy (SE-SD) with the SML algorithm when the number of transmit antennas exceeds 2. Compared to conventional SD, the proposed algorithm has low complexity especially at low signal to noise ratio (SNR). It is shown by simulation that the proposed algorithm has performance very close to conventional SD.

Key words:

maximum likelihood decoding;sphere decoding;MIMO;complexity

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