Title
Channel Estimation for RLS-Based Linearly Constrained Minimum Variance Receivers
Abstract
In this paper we use an alternative implementation of the RLS based linearly constrained minimum variance (LCMV) receiver for multicarrier (MC) CDMA systems. As a result of this implementation a new blind channel estimation algorithm is proposed. It is shown through computer simulations that the resulting receiver filter achieves nearly the same performance than previously proposed methods, while reduces the computational complexity.
Year
DOI
Venue
2008
10.1109/VETECF.2008.155
Calgary, BC
Keywords
Field
DocType
channel estimation,code division multiple access,computational complexity,least squares approximations,radio receivers,recursive estimation,blind channel estimation,computational complexity,computer simulations,linearly constrained minimum variance receivers,multicarrier CDMA systems,receiver filter,recursive least square algorithm
Minimum-variance unbiased estimator,Cdma systems,Computer science,Communication channel,Electronic engineering,Interference (wave propagation),Radio receiver,Code division multiple access,Computational complexity theory
Conference
ISSN
ISBN
Citations 
1090-3038 E-ISBN : 978-1-4244-1722-3
978-1-4244-1722-3
0
PageRank 
References 
Authors
0.34
9
3
Name
Order
Citations
PageRank
César A. Medina1235.23
Raimundo Sampaio Neto215525.30
Sampaio-Neto, R.3133.51