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University of Hull

Data retrieval in MIMO systems and the effects of correlation on the channel capacity

Abstract

dc:description.abstract

Multiple-input multiple-output (MIMO) antenna design as used in communication is today, easily the most important field in the wireless field; as capacities of data are increased based on the inherent capability of the technology, without an increase in spectrum bandwidth.This thesis analyses the ways through which data sent over some channel from a number of transmitters are recovered at the intended receivers; Maximum likelihood (ML) and Zero-forcing (ZF), are used for the data decoding; how effective these retrieval processes are and the imminent effects of correlation on the bit error rates as variants of signal to noise ratio, on the retrieved data capacities of the MIMO channels created, are all examined.This is simply very important as wireless systems continue to impact on lives globally.To drive the point home, the MIMO technology as it relates to this thesis is explicitly dissected to attempt a sound understanding of its modus operandi.

Degree

thesis:*
Name dc:type.qualificationname
MSc
Level dc:type.qualificationlevel
Masters
Grantor dc:publisher.institution
University of Hull
Year dc:date.issued
2010

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Chinda, Ibrahim Denis
Advisors dc:contributor.advisor
  • Paulson, Kevin S.
  • Riley, N. G.

Subjects

dc:subject × 1

Rights

Language dc:language
en

Identifiers

dc:identifier.*
Identifier
oai:hull-repository.worktribe.com:4209566
OAI identifier oai:identifier
oai:hull-repository.worktribe.com:4209566

Chain of custody

source
Harvested from
University of Hull
Base URL
hull-repository.worktribe.com/oaiprovider
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
related terms
citation

Chinda, Ibrahim Denis. Data retrieval in MIMO systems and the effects of correlation on the channel capacity. Masters thesis, University of Hull, 2010. https://hull-repository.worktribe.com/4209566/1/Thesis