Paper Info
Title
A novel shifted type of SLS estimator for estimation of Rician flat fading MIMO channels
Abstract
This paper deals with the training-based channel estimation scheme in Rician distributed flat fading multiple-input multiple-output (MIMO) channels. We propose a new biased shifted scaled least squares (SSLS) technique that is generalized form of the scaled least squares (SLS) approach. This technique is suitable for estimation of both Rayleigh and Rician fading MIMO channels. The performance of the conventional least squares (LS) and SSLS channel estimators is investigated. Moreover, the optimal choice of training sequences is probed using mean square error (MSE) criteria. Analytical and numerical results show that the proposed SSLS estimator significantly outperforms the LS and SLS techniques. It is demonstrated that increasing the Rice factor leads to decreasing the MSE of offered technique, while the performance of LS and SLS estimators is independent of this factor.
Year
DOI
Venue
2010
10.1016/j.sigpro.2009.12.009
Signal Processing
Keywords
Field
DocType
sls technique,flat fading multiple-input multiple-output,training-based channel estimation scheme,rice factor,offered technique,ssls channel estimator,proposed ssls estimator,sls estimator,rician flat fading mimo,generalized form,mimo channel,rician fading,least square,mimo,mean square error
Rayleigh scattering,Least squares,Mathematical optimization,Fading,MIMO,Mean squared error,Communication channel,Mathematics,Rician fading,Estimator
Journal
Volume
Issue
ISSN
90
6
Signal Processing
Citations 
PageRank 
References 
2
0.37
16
Authors
2
Name
Order
Citations
PageRank
Hamid Nooralizadeh141.44
Shahriar Shirvani Moghaddam2147.20