Improving STFBC MIMO-OFDM with ICI self-cancellation scheme using least square error estimation / Nur Farahiah Ibrahim

Channel estimation techniques for MIMO-OFDM based on comb type pilot arrangement with LSE estimator is investigated with STF diversity implementation. The frequency offset, due to the Rayleigh fading channel, Doppler shift and oscillator synchronization in OFDM impacts its performance. This is mitig...

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Bibliographic Details
Main Author:	Ibrahim, Nur Farahiah
Format:	Thesis
Language:	English
Published:	2013
Online Access:	https://ir.uitm.edu.my/id/eprint/67888/1/67888.pdf
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id	my-uitm-ir.67888
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spelling	my-uitm-ir.678882023-05-24T03:53:45Z Improving STFBC MIMO-OFDM with ICI self-cancellation scheme using least square error estimation / Nur Farahiah Ibrahim 2013 Ibrahim, Nur Farahiah Channel estimation techniques for MIMO-OFDM based on comb type pilot arrangement with LSE estimator is investigated with STF diversity implementation. The frequency offset, due to the Rayleigh fading channel, Doppler shift and oscillator synchronization in OFDM impacts its performance. This is mitigated with the implementation of the presented ICI-SC techniques and different ST subcarrier mapping. STFBC in the system exploits the spatial, temporal and frequency diversity to improve performance. Estimated channel is fed into a decoder which combines the STF decoding together with the estimated channel coefficients for equalization. The performance of the system is compared by measuring the symbol error rate with a PSK-4 and PSK-8. The results show that subcarrier mapping and ICI-SC was able to increase the system performance. LSE estimator was also able to estimate the channel coefficient at only 6 dB difference with a perfectly known channel. 2013 Thesis https://ir.uitm.edu.my/id/eprint/67888/ https://ir.uitm.edu.my/id/eprint/67888/1/67888.pdf text en public masters Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Idris, Azlina
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Idris, Azlina
description	Channel estimation techniques for MIMO-OFDM based on comb type pilot arrangement with LSE estimator is investigated with STF diversity implementation. The frequency offset, due to the Rayleigh fading channel, Doppler shift and oscillator synchronization in OFDM impacts its performance. This is mitigated with the implementation of the presented ICI-SC techniques and different ST subcarrier mapping. STFBC in the system exploits the spatial, temporal and frequency diversity to improve performance. Estimated channel is fed into a decoder which combines the STF decoding together with the estimated channel coefficients for equalization. The performance of the system is compared by measuring the symbol error rate with a PSK-4 and PSK-8. The results show that subcarrier mapping and ICI-SC was able to increase the system performance. LSE estimator was also able to estimate the channel coefficient at only 6 dB difference with a perfectly known channel.
format	Thesis
qualification_level	Master's degree
author	Ibrahim, Nur Farahiah
spellingShingle	Ibrahim, Nur Farahiah Improving STFBC MIMO-OFDM with ICI self-cancellation scheme using least square error estimation / Nur Farahiah Ibrahim
author_facet	Ibrahim, Nur Farahiah
author_sort	Ibrahim, Nur Farahiah
title	Improving STFBC MIMO-OFDM with ICI self-cancellation scheme using least square error estimation / Nur Farahiah Ibrahim
title_short	Improving STFBC MIMO-OFDM with ICI self-cancellation scheme using least square error estimation / Nur Farahiah Ibrahim
title_full	Improving STFBC MIMO-OFDM with ICI self-cancellation scheme using least square error estimation / Nur Farahiah Ibrahim
title_fullStr	Improving STFBC MIMO-OFDM with ICI self-cancellation scheme using least square error estimation / Nur Farahiah Ibrahim
title_full_unstemmed	Improving STFBC MIMO-OFDM with ICI self-cancellation scheme using least square error estimation / Nur Farahiah Ibrahim
title_sort	improving stfbc mimo-ofdm with ici self-cancellation scheme using least square error estimation / nur farahiah ibrahim
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2013
url	https://ir.uitm.edu.my/id/eprint/67888/1/67888.pdf
_version_	1783735741104259072

Improving STFBC MIMO-OFDM with ICI self-cancellation scheme using least square error estimation / Nur Farahiah Ibrahim

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