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
,
Siti Maisurah Sulong
- Faculty of Electrical Engineering UiTM Shah Alam, Malaysia.
Abstract
This paper is focusing on the performance of theproposed EW-RLS channel estimator using simulations, in thecontext of communication system with MIMO antennaoperating in outdoor and indoor environments. Differenttraining rates and different Doppler frequencies are used totrack time-variations of the channel. The adaptive algorithm isnamely Recursive Least Square (RLS) algorithm. Theperformance is evaluated in system MSE, for different Dopplerfrequencies (correspond to different mobility speeds).Simulation results have demonstrated that time-domainadaptive channel estimation and tracking in MIMO OFDMsystems based on the DD-RLS is very effective in slowly tomoderate time-varying fading channels. This paper providesanalysis, evaluation and computer simulations in MATLAB.
Keywords
- Means square error
- multiple input multipleoutput
- orthogonal frequency division multiplexing
- recursiveleast square
How to 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. https://doi.org/ 10.7763/IJFCC.2015.V4.381
Copyright & License
Copyright © 2015 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).