Paper Info
Title
Iterative equalization for MIMO systems: Algorithm design and evolution analysis
Abstract
In this paper, we study the equalization problem for linearly precoded multiple-input multiple-output (MIMO) systems. We develop novel iterative equalization algorithms based on message-passing principles. We establish an evolution technique to analyze the performance of the proposed iterative equalization algorithms. We show by numerical results that the simulated performance of the proposed linear precoding and iterative equalization scheme agrees well with the evolution analysis, and that the proposed scheme can significantly outperform the existing schemes. It is worth noting that the performance advantage of the proposed scheme is achieved without exploiting any knowledge of channel state information at the transmitter (CSIT).
Year
DOI
Venue
2013
10.1109/WCNC.2013.6555212
WCNC
Keywords
Field
DocType
channel state information,multiple-input multiple-output systems,radio transmitters,linear codes,precoding,transmitter,message-passing principles,mimo communication,iterative equalization,mimo systems,iterative methods,linear precoding
Transmitter,Mimo systems,Algorithm design,Equalization (audio),Iterative method,Computer science,Control theory,Algorithm,MIMO,Real-time computing,Precoding,Channel state information
Conference
ISSN
ISBN
Citations 
1525-3511 E-ISBN : 978-1-4673-5937-5
978-1-4673-5937-5
2
PageRank 
References 
Authors
0.40
9
2
Name
Order
Citations
PageRank
Xiao-jun Yuan199486.74
Junjie Ma214815.24