Dual-turbo receiver architecture for turbo coded MIMO-OFDM systems

作     者：WANG WenJin1,GAO XiQi1,WU XiaoFu2,YOU XiaoHu1,ZHAO ChunMing1 & WONG Kai-Kit3 1National Communication Research Laboratory,Southeast University,Nanjing 210096,China 2Nanjing Institute of Communications Engineering,Nanjing 210007,China 3Department of Electrical and Electronic Engineering,University College London London WC1E 7JE,UK 

作者机构：National Communication Research Laboratory Southeast University Nanjing China Nanjing Institute of Communications Engineering Nanjing China Department of Electrical and Electronic Engineering University College London London UK 

出 版 物：《Science China(Information Sciences)》 (中国科学:信息科学(英文版))

年 卷 期：2012年第55卷第2期

页      面：384-395页

核心收录：

学科分类：0810[工学-信息与通信工程] 08[工学] 081001[工学-通信与信息系统] 

基　　金：supported by National Science and Technology Major Project of China(Grant No.2009ZX03003005) National Science Foundation for Distinguished Young Scholars(Grant No.60925004) National Natural Science Foundation of China(Grant No.60902009) 

主　　题：MIMO-OFDM iterative detection and decoding turbo codes 

摘      要：This paper presents a novel architecture of iterative receivers with two layers of iterations for turbo coded multiple-input and multiple-output orthogonal frequency-division multiplexing(MIMO-OFDM)systems,where soft messages are passed not only between the MIMO detector and the turbo decoder,but also between the two component decoders within the turbo *** first derive the factor graph representation of a turbo coded system as a basic building block for developing the iterative ***,a new soft message passing schedule over the factor graph is proposed,resulting in the proposed dual-turbo receiver architecture(DTRA).In DTRA,the MIMO detector and the turbo decoder work concurrently,and the soft messages for both layers of iterations are updated instantaneously,instead of the block-based exchange of soft messages in the conventional iterative *** so doing,the processing latency can be greatly reduced while low computational complexity can be achieved.