Paper Info
Title
An Efficient ICA Based Approach to Multiuser Detection in MIMO OFDM Systems
Abstract
This paper proposes an ICA-based MIMO-OFDM system which efficiently overcomes problems inherent to ICA by using a precise and robust signal reconstruction method. It exploits the predetermined characteristics introduced to transmitted signals by a convolutional encoder at the transmitter to solve permutation indeterminacy, amplitude scaling ambiguity and phase distortion. Since, the introduced characteristics are only dependent on the convolutional code, despite the previous method, the proposed method is channel independent and robust. Moreover, the method is precise, because the accuracy of the introduced characteristics are fulfilled by an optimized convolutional code. We have compared the performance of the proposed MIMO-OFDM system with joint detection (JD) method which estimates the channels by using two training OFDM blocks. Although the JD method is a training based method, the performance of the proposed blind method is favorably comparable over slowly varying channels, and it dominates JD method over fast varying channels.
Year
DOI
Venue
2009
10.1007/978-90-481-2530-2_5
MCSS
Field
DocType
Citations 
MIMO-OFDM,Convolutional code,Computer science,Algorithm,Multiuser detection,Phase distortion,Encoder,Independent component analysis,Blind signal separation,Orthogonal frequency-division multiplexing
Conference
2
PageRank 
References 
Authors
0.43
5
3
Name
Order
Citations
PageRank
Mahdi Khosravy1206.92
Mohammad Reza Alsharif2116.44
Katsumi Yamashita320.43