Paper Info
Title
Adaptive joint maximum-likelihood detection and minimum-mean-square error with successive interference canceler over spatially correlated multiple-input multiple-output channels.
Abstract
We develop an efficient hard detector for multiple-input multiple-output (MIMO) channels, which adaptively combines maximum-likelihood detection (MLD) and minimum-mean-square error with a successive interference canceler together. Unlike the conventional joint combination scheme, which may suffer from considerable degradation in bit-error-rate (BER) performance over correlated channels and where only one data stream is detected by MLD, our proposed scheme adaptively controls the number of data streams to be detected by MLD based on an analytical characterization of reliability for the detection. Simulation results illustrate that near-optimal BER performance can be obtained at much lower computational complexity by the proposed method as compared with existing techniques, regardless of the spatial correlation of the MIMO channels. Copyright (c) 2012 John Wiley & Sons, Ltd.
Year
DOI
Venue
2013
10.1002/wcm.1172
WIRELESS COMMUNICATIONS & MOBILE COMPUTING
Keywords
Field
DocType
MIMO systems,spatially correlated channels,MLD,MMSE with SIC,noise enhancement
Data stream mining,Spatial correlation,Computer science,Data stream,MIMO,Minimum mean square error,Algorithm,Speech recognition,Interference (wave propagation),Detector,Distributed computing,Computational complexity theory
Journal
Volume
Issue
ISSN
13.0
13.0
1530-8669
Citations 
PageRank 
References 
1
0.36
18
Authors
6
Name
Order
Citations
PageRank
Lisheng Fan175950.06
Yangyang Zhang29212.12
Yong-Quan Jiang395.13
Kazuhiko Fukawa421239.25
Hiroshi Suzuki516226.01
Kai-Kit Wong63777281.90