中国邮电高校学报(英文) ›› 2008, Vol. 15 ›› Issue (3): 100-104.doi:

• MIMO • 上一篇    下一篇

SAGE based iterative receiver for joint synchronization and channel estimation in uplink MIMO-OFDMA systems

姜政 秦晓芳 张欣 杨大成   

  1. Wireless Theories and Technologies Laboratory, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • 收稿日期:2007-10-18 修回日期:1900-01-01 出版日期:2008-09-30

SAGE based iterative receiver for joint synchronization and channel estimation in uplink MIMO-OFDMA systems

JIANG Zheng, QIN Xiao-fang, ZHANG Xin, CHANG Yong-yu   

  1. Wireless Theories and Technologies Laboratory, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Received:2007-10-18 Revised:1900-01-01 Online:2008-09-30

摘要:

A new Turbo iterative receiver structure is proposed for the uplink multiple-input multiple-output orthogonal frequency division multiple access (MIMO-OFDMA) systems. The space-alternating generalized expectation-maximization (SAGE) algorithm is naturally embedded in the framework of iterative receiver to perform synchronization and detection using the Turbo detector outputs. In each iteration, the expectation step intends to remove the multiple access interference (MAI) caused by other asynchronous users, and the maximization step is utilized to estimate the required parameters (i.e., timing offset, carrier frequency offset, channel state information, etc.) sequentially for each user. Simulation results show that the proposed algorithm can approach the performance of ideal receiver closely, while the processing complexity is rather lower than the conventional detectors.

关键词:

;SAGE,;iterative;receiver,;synchronization,;channel;estimation

Abstract:

A new Turbo iterative receiver structure is proposed for the uplink multiple-input multiple-output orthogonal frequency division multiple access (MIMO-OFDMA) systems. The space-alternating generalized expectation-maximization (SAGE) algorithm is naturally embedded in the framework of iterative receiver to perform synchronization and detection using the Turbo detector outputs. In each iteration, the expectation step intends to remove the multiple access interference (MAI) caused by other asynchronous users, and the maximization step is utilized to estimate the required parameters (i.e., timing offset, carrier frequency offset, channel state information, etc.) sequentially for each user. Simulation results show that the proposed algorithm can approach the performance of ideal receiver closely, while the processing complexity is rather lower than the conventional detectors.

Key words:

SAGE;iterative receiver;synchronization;channel estimation