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

fYear

2008

fDate

21-24 Sept. 2008

Firstpage

1

Lastpage

5

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Vehicular Technology Conference, 2008. VTC 2008-Fall. IEEE 68th

Conference_Location

Calgary, BC

ISSN

1090-3038

Print_ISBN

978-1-4244-1721-6

Electronic_ISBN

1090-3038

Type

conf

DOI

10.1109/VETECF.2008.155

Filename

4656987