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Performance evaluation of detection algorithms for MOMI OFDM systems

Includes abstract.

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Bibliographic Details
Main Author: Radzokota, Rehoboam
Other Authors: Ventura, Neco
Format: Thesis
Language:English
Published: Department of Electrical Engineering 2014
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access_status_str Open Access
author Radzokota, Rehoboam
author2 Ventura, Neco
author_browse Radzokota, Rehoboam
Ventura, Neco
author_facet Ventura, Neco
Radzokota, Rehoboam
author_sort Radzokota, Rehoboam
collection Thesis
description Includes abstract.
format Thesis
id oai:open.uct.ac.za:11427/5119
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:32:41.376Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2014
publishDateRange 2014
publishDateSort 2014
publisher Department of Electrical Engineering
publisherStr Department of Electrical Engineering
record_format dspace
source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/5119 Performance evaluation of detection algorithms for MOMI OFDM systems Radzokota, Rehoboam Ventura, Neco Electrical Engineering Includes abstract. Includes bibliographical references (leaves 79-86). Introduction of Multi Input Multi Output (MIMO) Orthogonal Frequency Division Multiplexing (OFDM) as the base air interface method for Next Generation Network (NGN) will face a number of challenges from hostile channel conditions to interference from other users. This would result in an increase of detection complexity required for mobile systems. Complex detection will reduce the battery life of mobile devices because of the many calculations that have to be done to decode the signal. Very powerful detection algorithms exist but they introduce high detection complexity. NGN will employ different MIMO systems, but this research will consider spatially multiplexed MIMO which is used to improve the data rate and network capacity. In NGN different multi access modulation schemes will be used for uplink and downlink but they both have OFDM as the basic building block. In this work performance of MIMO OFDM is investigated in different channels models and detection algorithms. A low complexity detection scheme is proposed in this research to improve performance of MIMO OFDM. The proposed detection scheme is investigated for different channel characteristics. Realistic channels conditions are introduced to evaluate the performance of the proposed detection scheme. We analyze weaknesses of existing linear detectors and the enhancements that can be done to improve their performance in different channel conditions. Performance of the detectors is evaluated by comparison of Bit Error Rate (BER) and Symbol Error Rate (SER) against signal to noise ratio (SNR). This thesis proposes a detector which shows a higher complexity than linear detectors but less than Maximum Likelihood Detector (MLD). The proposed detector shows significant BER improvement in all channel conditions. For better performance evaluation this work also investigates performance of MIMO OFDM detectors in realistic channels like Kronecker and Weichselberger channel models. 2014-07-31T10:53:33Z 2014-07-31T10:53:33Z 2009 Master Thesis Masters MSc http://hdl.handle.net/11427/5119 eng application/pdf Department of Electrical Engineering Faculty of Engineering and the Built Environment University of Cape Town
spellingShingle Electrical Engineering
Radzokota, Rehoboam
Performance evaluation of detection algorithms for MOMI OFDM systems
thesis_degree_str Master's
title Performance evaluation of detection algorithms for MOMI OFDM systems
title_full Performance evaluation of detection algorithms for MOMI OFDM systems
title_fullStr Performance evaluation of detection algorithms for MOMI OFDM systems
title_full_unstemmed Performance evaluation of detection algorithms for MOMI OFDM systems
title_short Performance evaluation of detection algorithms for MOMI OFDM systems
title_sort performance evaluation of detection algorithms for momi ofdm systems
topic Electrical Engineering
url http://hdl.handle.net/11427/5119
work_keys_str_mv AT radzokotarehoboam performanceevaluationofdetectionalgorithmsformomiofdmsystems