Paper Info
Title
A Component-Level Soft Interference Cancellation Based Iterative Detection Algorithm for Coded MIMO Systems
Abstract
An iterative detection and decoding (IDD) scheme based on component-level soft cancellation (CLSC) and linear minimum mean-squared error (LMMSE) filtering for turbo coded multiple input multiple output (MIMO) multiplexing systems is proposed in this work. By exploiting the independence between the In-phase and Quadrature-phase branch, more accurate soft interference cancellation is realized. Extrinsic information transfer (EXIT) characteristics of the IDD system show that the proposed scheme exhibit faster convergence speed than the conventional one. Numerical results validate that the CLSC-LMMSE based detection algorithm achieves noticeable bit error rate (BER) performance over symbol-level soft cancelation (SLSC) based one, with only marginal complexity increase.
Year
DOI
Venue
2014
10.1109/VTCFall.2014.6965806
VTC Fall
Keywords
DocType
Citations 
turbo codes,bit error rate performance,EXIT,multiplexing,linear minimum mean-squared error filtering,IDD scheme,symbol-level soft cancellation,turbo coded multiple input multiple output multiplexing systems,extrinsic information transfer characteristics,quadrature-phase branch,least mean squares methods,MIMO communication,coded MIMO systems,CLSC-LMMSE based detection algorithm,BER performance,marginal complexity,filtering theory,interference suppression,iterative detection and decoding scheme,iterative decoding,component-level soft interference cancellation based iterative detection algorithm,signal detection,SLSC
Conference
0
PageRank 
References 
Authors
0.34
12
4
Name
Order
Citations
PageRank
Jin Xu11713.05
Xiaoming Dai210021.23
Weiguo Ma361.42
Yingmin Wang410319.02