DocumentCode :
3046572
Title :
Reduced complexity blind channel estimation for adaptive constrained minimum variance receivers in MC-CDMA systems
Author :
Medina, César A. ; Vinhoza, Tiago T V ; Sampaio-Neto, Raimundo
Author_Institution :
Center of Telecommun. Studies (CETUC), Pontifical Catholic Univ. of Rio de Janeiro (PUC-Rio), Rio de Janeiro
fYear :
2008
fDate :
6-9 July 2008
Firstpage :
516
Lastpage :
519
Abstract :
In this paper we propose a blind adaptive channel estimator for multicarrier CDMA systems. The proposed algorithm is derived from the stochastic gradient solution for the linearly constrained minimum variance detector and it is shown to present lower computational complexity when compared to a well-known solution. It is shown through computer simulations that both the channel estimation and receiver filter achieve a slightly better performance than previously proposed methods.
Keywords :
channel estimation; code division multiple access; computational complexity; radio receivers; spread spectrum communication; stochastic processes; MC-CDMA system; adaptive constrained minimum variance receiver; blind channel estimation; computational complexity; linear constrained minimum variance detector; stochastic gradient solution; Blind equalizers; Channel estimation; Covariance matrix; Detectors; Interference suppression; Multiaccess communication; Multicarrier code division multiple access; Multipath channels; Multiple access interference; Stochastic processes; Multicarrier CDMA; adaptive interference suppression; blind channel estimation; linearly constrainedminimum variance receivers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Advances in Wireless Communications, 2008. SPAWC 2008. IEEE 9th Workshop on
Conference_Location :
Recife
Print_ISBN :
978-1-4244-2045-2
Electronic_ISBN :
978-1-4244-2046-9
Type :
conf
DOI :
10.1109/SPAWC.2008.4641661
Filename :
4641661
Link To Document :
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