Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/3637
Full metadata record
DC FieldValueLanguage
dc.contributor.advisorÖzbek, Bernaen
dc.contributor.authorBaştürk, İlhan-
dc.date.accessioned2014-07-22T13:52:00Z-
dc.date.available2014-07-22T13:52:00Z-
dc.date.issued2007en
dc.identifier.urihttp://hdl.handle.net/11147/3637-
dc.descriptionThesis (Master)--Izmir Institute of Technology, Electronics and Communication Engineering, Izmir, 2007en
dc.descriptionIncludes bibliographical references (leaves: 77-78)en
dc.descriptionText in English; Abstract: Turkish and Englishen
dc.descriptionxii, 78 leavesen
dc.description.abstractOrthogonal frequency division multiplexing (OFDM) is well-known for its efficient high speed transmission and robustness to frequency-selective fading channels. On the other hand, multiple-input multiple-output (MIMO) antenna systems have the ability to increase capacity and reliability of a wireless communication system compared to single-input single-output (SISO) systems. Hence, the integration of the two technologies has the potential to meet the ever growing demands of future communication systems. In these systems, channel estimation is very crucial to demodulate the data coherently. For a good channel estimation, spectral efficiency and lower computational complexity are two important points to be considered. In this thesis, we explore different channel estimation techniques in order to improve estimation performance by increasing the bandwidth efficiency and reducing the computational complexity for both SISO-OFDM and MIMO-OFDM systems. We first investigate pilot and Expectation-Maximization (EM)-based channel estimation techniques and compare their performances. Next, we explore different pilot arrangements by reducing the number of pilot symbols in one OFDM frame to improve bandwidth efficiency. We obtain the bit error rate and the channel estimation performance for these pilot arrangements. Then, in order to decrase the computational complexity, we propose an iterative channel estimation technique, which establishes a link between the decision block and channel estimation block using virtual subcarriers. We compare this proposed technique with EM-based channel estimation in terms of performance and complexity. These channel estimation techniques are also applied to STBC-OFDM and V-BLAST structured MIMO-OFDM systems. Finally, we investigate a joint EM-based channel estimation and signal detection technique for V-BLAST OFDM system.en
dc.language.isoenen_US
dc.publisherIzmir Institute of Technologyen
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subject.lccTK5103.484 B32 2007en
dc.subject.lcshOrthogonal frequency division multiplexingen
dc.subject.lcshMIMO systemsen
dc.titleIterative channel estimation techniques for multiple input multiple output orthogonal frequency division multiplexing systemsen_US
dc.typeMaster Thesisen_US
dc.institutionauthorBaştürk, İlhan-
dc.departmentThesis (Master)--İzmir Institute of Technology, Electrical and Electronics Engineeringen_US
dc.relation.publicationcategoryTezen_US
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.grantfulltextopen-
item.openairetypeMaster Thesis-
item.fulltextWith Fulltext-
Appears in Collections:Master Degree / Yüksek Lisans Tezleri
Files in This Item:
File Description SizeFormat 
T000653.pdfMasterThesis986.16 kBAdobe PDFThumbnail
View/Open
Show simple item record



CORE Recommender

Page view(s)

76
checked on Oct 28, 2024

Download(s)

64
checked on Oct 28, 2024

Google ScholarTM

Check





Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.