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dc.contributor.advisorTahernezhadi, Mansouren_US
dc.contributor.authorMohammed, Imtiyaz Ahmeden_US
dc.date.accessioned2018-10-03T15:08:02Z
dc.date.available2018-10-03T15:08:02Z
dc.date.issued2015
dc.identifier.urihttps://commons.lib.niu.edu/handle/10843/18858
dc.descriptionAdvisors: Mansour Tahernezhadi.en_US
dc.descriptionCommittee members: Peng-Yung Woo; Donald Zinger.en_US
dc.description.abstractMultiple Input Multiple Output Orthogonal Frequency Division Multiplexing (MIMO- OFDM) provides a significant performance gain compared to the single antenna systems by using diversity and multiplexing techniques. The availability of channel state information at the receiver determines the multiplexing and diversity gain of the MIMO OFDM systems. In this thesis work, analysis and comparison of different pilot aided channel estimation algorithms have been performed. The Alamouti Space Frequency Block coding (SFBC) is used to achieve diversity, whereas Maximum Likelihood (ML) detector is used to decode the spatially coded symbols.;The pilot aided channel estimation is performed for both MIMO and Single Input Single Output (SISO) OFDM systems using the Least Square (LS) and Minimum Mean Square Error (MMSE) channel estimation algorithms for the block type and comb type pilots. Matlab simulations have been performed for estimating the channel in different scenarios like Rayleigh fading and Stanford University Interim (SUI) channel models at various doppler frequencies. The performance of different channel estimators have been evaluated for a 2x2 and 1x1 system using the mean square error (MSE) and bit error rate (BER). The MMSE estimator performs better than LS estimator in terms of BER but is a little complex. At low doppler frequencies MMSE estimator using block type pilots performs better while at high doppler frequencies MMSE estimator using comb type pilots perfoms better. The SUI channel model performed better than the Rayleigh channel due to presence of line of sight (LOS). Hence, the comb type MMSE estimator in MIMO OFDM is optimal in fast fading scenarios.en_US
dc.format.extent64 pagesen_US
dc.language.isoengen_US
dc.publisherNorthern Illinois Universityen_US
dc.rightsNIU theses are protected by copyright. They may be viewed from Huskie Commons for any purpose, but reproduction or distribution in any format is prohibited without the written permission of the authors.en_US
dc.subject.lcshEngineeringen_US
dc.subject.lcshElectrical engineeringen_US
dc.subject.lcshMIMO systemsen_US
dc.subject.lcshOrthogonal frequency division multiplexingen_US
dc.subject.lcshElectrical engineeringen_US
dc.titleAnalysis and performance evaluation of SISO and MIMO OFDM channel estimation techniques using pilot symbolsen_US
dc.type.genreDissertation/Thesisen_US
dc.typeTexten_US
dc.contributor.departmentDepartment of Electrical Engineeringen_US
dc.description.degreeM.S. (Master of Science)en_US


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