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General Information
Editor-in-chief

Prof. Pascal Lorenz
University of Haute Alsace, France
 
It is my honor to be the editor-in-chief of IJFCC. The journal publishes good papers in the field of future computer and communication. Hopefully, IJFCC will become a recognized journal among the readers in the filed of future computer and communication.

IJFCC 2015 Vol.4(3): 184-187 ISSN: 2010-3751
DOI: 10.7763/IJFCC.2015.V4.381

MSE and Tracking of Channel Estimation Based on DD-EW-RLS for Indoor and Outdoor Environment in MIMO-OFDM

Suzi Seroja Sarnin and Siti Maisurah Sulong
Abstract—This paper is focusing on the performance of the proposed EW-RLS channel estimator using simulations, in the context of communication system with MIMO antenna operating in outdoor and indoor environments. Different training rates and different Doppler frequencies are used to track time-variations of the channel. The adaptive algorithm is namely Recursive Least Square (RLS) algorithm. The performance is evaluated in system MSE, for different Doppler frequencies (correspond to different mobility speeds). Simulation results have demonstrated that time-domain adaptive channel estimation and tracking in MIMO OFDM systems based on the DD-RLS is very effective in slowly to moderate time-varying fading channels. This paper provides analysis, evaluation and computer simulations in MATLAB.

Index Terms—Means square error, multiple input multiple output, orthogonal frequency division multiplexing, recursive least square.

The authors are with Faculty of Electrical Engineering UiTM Shah Alam, Malaysia (e-mail: suzis450@salam.uitm.edu.my, sitimaisurah91@gmail.com).

[PDF]

Cite: Suzi Seroja Sarnin and Siti Maisurah Sulong, "MSE and Tracking of Channel Estimation Based on DD-EW-RLS for Indoor and Outdoor Environment in MIMO-OFDM," International Journal of Future Computer and Communication vol. 4, no. 3, pp. 184-187, 2015.

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