Investigation into the Effects of Channel Properties on Training-based MIMO Channel Estimation

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Published: Nov 8, 2008
DOI: https://doi.org/10.37936/ecti-eec.201082.172093
Keywords:
MIMO Channel Estimation Training Based LS Estimation MMSE Estimation Channel Properties

Main Article Content

Xia Liu
Group of MOC, School of ITEE, The University of Queensland
Marek E. Bialkowski
Group of MOC, School of ITEE, The University of Queensland
Feng Wang
Group of MOC, School of ITEE, The University of Queensland

Abstract

This paper reports on investigations into the effect of channel properties on training-based MIMO channel estimation. Here, the channel's properties are represented by eigenvalues of the complex channel correlation matrix. The influence of these eigen values is assessed for two training based channel estimation methods, Scaled Least Square (SLS) method and Minimum Mean Square Error (MMSE) method. It is shown that for a given transmitted power to noise ratio in the training mode, the performance of the two estimation methods is governed by the sum of eigen values of the channel correlation matrix. Simulation results support this conclusion.

Article Details

How to Cite
Liu, X., Bialkowski, M. E., & Wang, F. (2008). Investigation into the Effects of Channel Properties on Training-based MIMO Channel Estimation. ECTI Transactions on Electrical Engineering, Electronics, and Communications, 8(2), 173–178. https://doi.org/10.37936/ecti-eec.201082.172093
Issue
Vol. 8 No. 2 (2010): Regular Issue
Section
Research Article

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