Time-domain RLS-based channel estimation for MIMO OFDM systems

Citation

Saeed, Mohammed Abdo and Mohd Ali, Borhanuddin and Ismail, Mahamod and Khatun, Sabira and Noordin, Nor Kamariah (2007) Time-domain RLS-based channel estimation for MIMO OFDM systems. In: IEEE International Conference on Telecommunications and Malaysia International Conference on Communications (ICT-MICC 2007), 14-17 May 2007, Penang, Malaysia. (pp. 520-525).

Abstract

In this paper, an adaptive channel estimation scheme for MIMO OFDM systems based on time-domain training and recursive least squared (RLS) algorithm is proposed. Time orthogonal as well as simultaneously transmitted training sequences are considered. The channel is assumed to be slowly varying time-dispersive, i.e., constant during one OFDM symbol but changing from symbol to symbol. Channel estimation is performed in time-domain followed by zero-forcing equalization in the frequency-domain. The computational complexity is significantly reduced by applying the matrix inversion lemma. Simulation results show that the proposed estimator with time orthogonal training sequences has better estimation performance over a range of Doppler spreads compared to the case when the training sequences are simultaneously transmitted from the different transmit antennas.

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Additional Metadata

Item Type:	Conference or Workshop Item (Paper)
Divisions:	Faculty of Engineering
DOI Number:	https://doi.org/10.1109/ICTMICC.2007.4448692
Publisher:	IEEE
Keywords:	Channel estimation; MIMO; OFDM; RLS algorithm
Depositing User:	Nabilah Mustapa
Date Deposited:	15 Jul 2016 05:24
Last Modified:	15 Jul 2016 05:24
Altmetrics:	http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/ICTMICC.2007.4448692
URI:	http://psasir.upm.edu.my/id/eprint/47785
Statistic Details:	View Download Statistic

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