Reduced-Complexity Turbo Equalization for Turbo Coded MIMO/OFDM Systems  

作　　者：JIN Yi-dan ZHANG Feng WU Wei-ling 

机构地区：[1]Information Engineering School, Beijing University of Posts and Teleeommunications, Beijing 100876, P. R, China

出　　处：《The Journal of China Universities of Posts and Telecommunications》2006年第1期93-98,共6页中国邮电高校学报（英文版）

基　　金：ThisworkissupportedbytheNational"863"ProjectsofChina(2001AA123016);NationalNaturalScienceFoundationofChina(60172051).

摘　　要：This paper derives a low-complexity turbo equalization algorithm for turbo coded multiple input multiple output/ orthogonal frequency division multiplexing systems. This algorithm consists of soft-output decision-feedback equalization with a probabilistic data association algorithm and a soft-input soft-output turbo channel decoder using iterative operations. In each iteration, extrinsic information extracted from the probabilistic data association algorithm detector and from the channel decoder is used as the prior information for the next iteration to realize iterative channel equalization and channel decoding, Our simulation results show that the algorithm improves the signal noise ratio around 1 dB with bit error rate reaching 10 -6 when the Eb/ N0 - 4 dB compared to minimum mean square error and match filter, and can greatly reduce the intersymbol interference at a low overall complexity of O（ N^3） after 2 iterations.This paper derives a low-complexity turbo equalization algorithm for turbo coded multiple input multiple output/ orthogonal frequency division multiplexing systems. This algorithm consists of soft-output decision-feedback equalization with a probabilistic data association algorithm and a soft-input soft-output turbo channel decoder using iterative operations. In each iteration, extrinsic information extracted from the probabilistic data association algorithm detector and from the channel decoder is used as the prior information for the next iteration to realize iterative channel equalization and channel decoding, Our simulation results show that the algorithm improves the signal noise ratio around 1 dB with bit error rate reaching 10 -6 when the Eb/ N0 - 4 dB compared to minimum mean square error and match filter, and can greatly reduce the intersymbol interference at a low overall complexity of O（ N^3） after 2 iterations.

关 键 词：MIMO OFDM turbo equalization probabilistic data association turbo channel decoding 16QAM ISI 

分 类 号：TN911[电子电信—通信与信息系统]