Paper Info
Title
Independent Component Analysis Based MIMO Transceiver With Improved Performance In Time Varying Wireless Channels
Abstract
Independent component analysis (ICA) is a signal processing technique used for un-mixing of the mixed recorded signals. In wireless communication, ICA is mainly used in multiple input multiple output (MIMO) systems. Most of the existing work regarding the ICA applications in MIMO systems assumed static or quasi static wireless channels. Performance of the ICA algorithms degrades in case of time varying wireless channels and is further degraded if the data block lengths are reduced to get the quasi stationarity. In this paper, we propose an ICA based MIMO transceiver that performs well in time varying wireless channels, even for smaller data blocks. Simulation is performed over quadrature amplitude modulated (QAM) signals. Results show that the proposed transceiver system outperforms the existing MIMO system utilizing the FastICA and the OBAICA algorithms in both the transceiver systems for time varying wireless channels. Performance improvement is observed for different data blocks lengths and signal to noise ratios (SNRs).
Year
DOI
Venue
2015
10.3837/tiis.2015.07.006
KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS
Keywords
Field
DocType
Wireless Systems,Time Varying Channel,Independent Component Analysis,MIMO Transceiver
Multi-user MIMO,Wireless,3G MIMO,Computer science,QAM,MIMO,Real-time computing,Electronic engineering,FastICA,Independent component analysis,Spatial multiplexing,Distributed computing
Journal
Volume
Issue
ISSN
9
7
1976-7277
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
zahoor uddin172.87
Ayaz Ahmad215117.66
Muhammad Iqbal318924.05
Nadir Shah411614.76