Title :
Channel Estimation for RLS-Based Linearly Constrained Minimum Variance Receivers
Author :
Medina, César A. ; Sampaio-Neto, Raimundo
Author_Institution :
Center of Telecommun. Studies, Pontifical Catholic Univ. of Rio de Janeiro, Rio de Janeiro
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.
Keywords :
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; Blind equalizers; Channel estimation; Computational complexity; Filters; Interference constraints; Interference suppression; Multiaccess communication; Multicarrier code division multiple access; Multiple access interference; Resonance light scattering;
Conference_Titel :
Vehicular Technology Conference, 2008. VTC 2008-Fall. IEEE 68th
Conference_Location :
Calgary, BC
Print_ISBN :
978-1-4244-1721-6
Electronic_ISBN :
1090-3038
DOI :
10.1109/VETECF.2008.155
