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Multiuser Detection for MIMO CDMA Systems

by S.Lenty Stuwart, M.Angeline
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 4 - Number 6
Year of Publication: 2010
Authors: S.Lenty Stuwart, M.Angeline
10.5120/833-1166

S.Lenty Stuwart, M.Angeline . Multiuser Detection for MIMO CDMA Systems. International Journal of Computer Applications. 4, 6 ( July 2010), 6-10. DOI=10.5120/833-1166

@article{ 10.5120/833-1166,
author = { S.Lenty Stuwart, M.Angeline },
title = { Multiuser Detection for MIMO CDMA Systems },
journal = { International Journal of Computer Applications },
issue_date = { July 2010 },
volume = { 4 },
number = { 6 },
month = { July },
year = { 2010 },
issn = { 0975-8887 },
pages = { 6-10 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume4/number6/833-1166/ },
doi = { 10.5120/833-1166 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:52:22.017798+05:30
%A S.Lenty Stuwart
%A M.Angeline
%T Multiuser Detection for MIMO CDMA Systems
%J International Journal of Computer Applications
%@ 0975-8887
%V 4
%N 6
%P 6-10
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

MIMO is a technique to increase data rate significantly with multiple antennas at both the transmitter and receiver. MIMO takes the advantage of random fading and multipath delay spread. MIMO systems will need to function reliably in interference limited environment in order to be effective. CDMA systems are designed to operate in an interference free environment and for this reason it is used in modern cellular systems. The combination of MIMO and CDMA can further improve the system transmission rate over the traditional CDMA system. Multiuser MIMO CDMA systems are considered where each user has multiple transmit antennas, different transmit antennas of the same user use the same spreading code. Matched filter method and decorrelating detector method are used to detect the signals with Gaussian Noise. In many wireless systems the ambient noise is known through experimental measurements to be decidedly non-Gaussian due to largely impulsive phenomena. The performance of many multiuser detectors can degrade substantially in the presence of such impulsive ambient noise. For combating Multi Access Interference and impulsive noise in CDMA communication systems, a technique based on m-estimation is used. Performance comparison shows that m-estimation has better performance under non-Gaussian noise than the other detection techniques.

References
Index Terms

Computer Science
Information Sciences

Keywords

Spreading Fading Noise Linear Detection Nonlinear Detection