Paper Info
Title
Adaptive MAP receiver via the EM algorithm and message passings for MIMO-OFDM mobile communications
Abstract
This paper proposes two new types of maximum a posteriori probability (MAP) receivers for multiple-input-multiple-output and orthogonal frequency-division multiplexing mobile communications with a channel coding such as the low-density parity-check code. One proposed receiver employs the expectation-maximization algorithm so as to improve performance of approximated MAP detection. Differently from a conventional receiver employing the minimum mean-square estimation (MMSE) algorithm, it applies the recursive least squares (RLS) algorithm to the channel estimation in order to track a fast fading channel. For the purpose of further improvement, the other proposed receiver applies a new adaptive algorithm that can be derived from the message passing on factor graphs. The algorithm exploits all detected signals but one of targeted time, and can gain a considerable advantage over the MMSE and RLS. Computer simulations show that the first proposed receiver is superior in channel-tracking ability to the conventional receiver employing the MMSE. Furthermore, it is demonstrated that the second proposed receiver remarkably outperforms both the conventional and the first proposed ones.
Year
DOI
Venue
2006
10.1109/JSAC.2005.862396
IEEE Journal on Selected Areas in Communications
Keywords
Field
DocType
proposed receiver,new adaptive algorithm,new type,channel-tracking ability,mimo-ofdm mobile communication,adaptive map receiver,approximated map detection,message passing,expectation-maximization algorithm,minimum mean-square estimation,conventional receiver,em algorithm,channel estimation,fast fading channel,orthogonal frequency division multiplexing,channel coding,fading channel,mimo,expectation maximization,expectation maximization algorithm,ofdm,factor graph,approximation theory,mobile communication,frequency division multiplexing,signal detection,computer simulation,graph theory,radio receivers,least squares approximation,ofdm modulation
Factor graph,MIMO-OFDM,Fading,Computer science,Algorithm,Real-time computing,Theoretical computer science,Receiver,Maximum a posteriori estimation,Adaptive algorithm,Recursive least squares filter,Orthogonal frequency-division multiplexing
Journal
Volume
Issue
ISSN
24
3
0733-8716
Citations 
PageRank 
References 
27
1.28
17
Authors
3
Name
Order
Citations
PageRank
T. Kashima1271.28
Kazuhiko Fukawa221239.25
H. Suzuki323831.31