Joint carrier frequency offset and channel tracking for Multiple-Input Multiple-Output Orthogonal Frequency-Division Multiplexing system

The existing method to perform joint carrier frequency offset (CFO) and channel estimation for Multiple-Input Multiple-Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) systems in time domain is based on the extended Kalman filter (EKF). The existing method requires knowledge of channel...

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Main Author:	Mah, Meng Chuan
Format:	Thesis
Published:	2013
Subjects:	TK Electrical engineering Electronics Nuclear engineering
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id	my-mmu-ep.5896
record_format	uketd_dc
spelling	my-mmu-ep.58962020-12-29T06:38:32Z Joint carrier frequency offset and channel tracking for Multiple-Input Multiple-Output Orthogonal Frequency-Division Multiplexing system 2013-09 Mah, Meng Chuan TK Electrical engineering. Electronics Nuclear engineering TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television The existing method to perform joint carrier frequency offset (CFO) and channel estimation for Multiple-Input Multiple-Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) systems in time domain is based on the extended Kalman filter (EKF). The existing method requires knowledge of channel statistics. The observation noise covariance is assumed to be known. The state transition matrix and the state noise covariance can be obtained by solving the Yule Walker equations, which requires knowledge of the maximum Doppler frequency or mobile velocity. In practical systems, such information may not be readily available. In this thesis, a joint CFO and channel parameters estimation algorithm for MIMO-OFDM systems is proposed. The algorithm does not require any knowledge of channel statistics where the channel gains, CFO, state transition coefficients, state noise covariance and observation noise covariance are jointly estimated. Simulation results show that the proposed method is capable of matching the performance of the existing algorithm without requiring knowledge of channel statistics. The performance of the existing algorithm is shown to degrade when inaccurate information of mobile velocity is used. The proposed algorithm has no such issue as it does not require knowledge of mobile velocity. 2013-09 Thesis http://shdl.mmu.edu.my/5896/ http://library.mmu.edu.my/diglib/onlinedb/dig_lib.php masters Multimedia University Faculty of Engineering and Technology
institution	Multimedia University
collection	MMU Institutional Repository
topic	TK Electrical engineering Electronics Nuclear engineering TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering TK Electrical engineering Electronics Nuclear engineering Mah, Meng Chuan Joint carrier frequency offset and channel tracking for Multiple-Input Multiple-Output Orthogonal Frequency-Division Multiplexing system
description	The existing method to perform joint carrier frequency offset (CFO) and channel estimation for Multiple-Input Multiple-Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) systems in time domain is based on the extended Kalman filter (EKF). The existing method requires knowledge of channel statistics. The observation noise covariance is assumed to be known. The state transition matrix and the state noise covariance can be obtained by solving the Yule Walker equations, which requires knowledge of the maximum Doppler frequency or mobile velocity. In practical systems, such information may not be readily available. In this thesis, a joint CFO and channel parameters estimation algorithm for MIMO-OFDM systems is proposed. The algorithm does not require any knowledge of channel statistics where the channel gains, CFO, state transition coefficients, state noise covariance and observation noise covariance are jointly estimated. Simulation results show that the proposed method is capable of matching the performance of the existing algorithm without requiring knowledge of channel statistics. The performance of the existing algorithm is shown to degrade when inaccurate information of mobile velocity is used. The proposed algorithm has no such issue as it does not require knowledge of mobile velocity.
format	Thesis
qualification_level	Master's degree
author	Mah, Meng Chuan
author_facet	Mah, Meng Chuan
author_sort	Mah, Meng Chuan
title	Joint carrier frequency offset and channel tracking for Multiple-Input Multiple-Output Orthogonal Frequency-Division Multiplexing system
title_short	Joint carrier frequency offset and channel tracking for Multiple-Input Multiple-Output Orthogonal Frequency-Division Multiplexing system
title_full	Joint carrier frequency offset and channel tracking for Multiple-Input Multiple-Output Orthogonal Frequency-Division Multiplexing system
title_fullStr	Joint carrier frequency offset and channel tracking for Multiple-Input Multiple-Output Orthogonal Frequency-Division Multiplexing system
title_full_unstemmed	Joint carrier frequency offset and channel tracking for Multiple-Input Multiple-Output Orthogonal Frequency-Division Multiplexing system
title_sort	joint carrier frequency offset and channel tracking for multiple-input multiple-output orthogonal frequency-division multiplexing system
granting_institution	Multimedia University
granting_department	Faculty of Engineering and Technology
publishDate	2013
_version_	1747829598213636096

Joint carrier frequency offset and channel tracking for Multiple-Input Multiple-Output Orthogonal Frequency-Division Multiplexing system

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