Investigation of QAM based on mean square error (MSE) channel estimation (CE) for MIMO-OFDM pilot based system / Mohd Ariff Ibrahim

Channel Estimation (CE) is functioning as a medium to reduce the diversity and error in MIMO-OFDM system which containing few other techniques which are Least Square Error (LSE), Mean Square Error (MSE) and Discrete Fourier Transform (DFT). The diversity in MIMO-OFDM is based on the lowest Bit Error...

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Main Author:	Ibrahim, Mohd Ariff
Format:	Thesis
Language:	English
Published:	2013
Online Access:	https://ir.uitm.edu.my/id/eprint/79637/1/79637.pdf
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id	my-uitm-ir.79637
record_format	uketd_dc
spelling	my-uitm-ir.796372023-09-19T04:48:14Z Investigation of QAM based on mean square error (MSE) channel estimation (CE) for MIMO-OFDM pilot based system / Mohd Ariff Ibrahim 2013 Ibrahim, Mohd Ariff Channel Estimation (CE) is functioning as a medium to reduce the diversity and error in MIMO-OFDM system which containing few other techniques which are Least Square Error (LSE), Mean Square Error (MSE) and Discrete Fourier Transform (DFT). The diversity in MIMO-OFDM is based on the lowest Bit Error Rate (BER) of each result by the estimation of Quadrature Amplitude Modulation (QAM) scheme size. Fast Fourier Transform (FFT) and Inverse Fast Fourier Transform (IFFT) are the main optimizer as it convert input signal or output signal from frequency domain to time domain or vice versa either on serial or parallel block. The Multiple Input Multiple Output (MIMO) is perform in the transceiver technology so that it can improve the performance of the radar, satellite or any other devices that uses signal frequency as the input. The Orthogonal Frequency Division Multiplexing (OFDM) is the technique that use for many companies, distributers, researchers, industries and many other signal processing usage for many years. There is Channel Estimation (CE) which consists of different statement to obtain high gain and a better performance of Bit Error Rate (BER). This is why the study of Mean Square Error (MSE) is made so that the technique can reduce the error and perform a better Bit Error Rate (BER). The Least Square Error (LSE) and Discrete Fourier Transform (DFT) BER are not shown because these are other CE techniques and Mean Square Error (MSE) is used just by applying the algorithm from Least Square Error (LSE) and converted into MSE with combination of few complex matrix correlations. 2013 Thesis https://ir.uitm.edu.my/id/eprint/79637/ https://ir.uitm.edu.my/id/eprint/79637/1/79637.pdf text en public degree 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 (CE) is functioning as a medium to reduce the diversity and error in MIMO-OFDM system which containing few other techniques which are Least Square Error (LSE), Mean Square Error (MSE) and Discrete Fourier Transform (DFT). The diversity in MIMO-OFDM is based on the lowest Bit Error Rate (BER) of each result by the estimation of Quadrature Amplitude Modulation (QAM) scheme size. Fast Fourier Transform (FFT) and Inverse Fast Fourier Transform (IFFT) are the main optimizer as it convert input signal or output signal from frequency domain to time domain or vice versa either on serial or parallel block. The Multiple Input Multiple Output (MIMO) is perform in the transceiver technology so that it can improve the performance of the radar, satellite or any other devices that uses signal frequency as the input. The Orthogonal Frequency Division Multiplexing (OFDM) is the technique that use for many companies, distributers, researchers, industries and many other signal processing usage for many years. There is Channel Estimation (CE) which consists of different statement to obtain high gain and a better performance of Bit Error Rate (BER). This is why the study of Mean Square Error (MSE) is made so that the technique can reduce the error and perform a better Bit Error Rate (BER). The Least Square Error (LSE) and Discrete Fourier Transform (DFT) BER are not shown because these are other CE techniques and Mean Square Error (MSE) is used just by applying the algorithm from Least Square Error (LSE) and converted into MSE with combination of few complex matrix correlations.
format	Thesis
qualification_level	Bachelor degree
author	Ibrahim, Mohd Ariff
spellingShingle	Ibrahim, Mohd Ariff Investigation of QAM based on mean square error (MSE) channel estimation (CE) for MIMO-OFDM pilot based system / Mohd Ariff Ibrahim
author_facet	Ibrahim, Mohd Ariff
author_sort	Ibrahim, Mohd Ariff
title	Investigation of QAM based on mean square error (MSE) channel estimation (CE) for MIMO-OFDM pilot based system / Mohd Ariff Ibrahim
title_short	Investigation of QAM based on mean square error (MSE) channel estimation (CE) for MIMO-OFDM pilot based system / Mohd Ariff Ibrahim
title_full	Investigation of QAM based on mean square error (MSE) channel estimation (CE) for MIMO-OFDM pilot based system / Mohd Ariff Ibrahim
title_fullStr	Investigation of QAM based on mean square error (MSE) channel estimation (CE) for MIMO-OFDM pilot based system / Mohd Ariff Ibrahim
title_full_unstemmed	Investigation of QAM based on mean square error (MSE) channel estimation (CE) for MIMO-OFDM pilot based system / Mohd Ariff Ibrahim
title_sort	investigation of qam based on mean square error (mse) channel estimation (ce) for mimo-ofdm pilot based system / mohd ariff ibrahim
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2013
url	https://ir.uitm.edu.my/id/eprint/79637/1/79637.pdf
_version_	1783736285536452608

Investigation of QAM based on mean square error (MSE) channel estimation (CE) for MIMO-OFDM pilot based system / Mohd Ariff Ibrahim

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