A constrained IQRD-RLS blind detection algorithm for CDMA transmission systems in multipath channels

Author

Medina, César A. ; Sampaio-Neto, Raimundo

Author_Institution

Center of Telecommun. Studies (CETUC), Pontifical Catholic Univ. of Rio de Janeiro (PUC-Rio), Rio de Janeiro, Brazil

fYear

2010

fDate

19-22 Sept. 2010

Firstpage

485

Lastpage

489

Abstract

In this paper we propose an inverse QR decomposition based recursive least squares algorithm (IQRD-RLS) for the linearly constrained minimum variance (LCMV) receiver for CDMA transmission systems. The proposed algorithm is numerically stable and it is suitable for implementation in systolic arrays or DSP vector architectures. It is shown through computer simulations that the proposed algorithm outperforms, in terms of bit error rate, previously proposed IQRD-RLS based blind detection algorithms.

Keywords

code division multiple access; error statistics; least mean squares methods; multipath channels; signal detection; CDMA transmission system; LCMV receiver; bit error rate; constrained IQRD-RLS blind detection; inverse QR decomposition; linearly constrained minimum variance; multipath channel; recursive least squares algorithm; Bit error rate; Interference; Kalman filters; Multiaccess communication; Receivers; Signal to noise ratio; Transmission line matrix methods; CDMA; IQRD-RLS filtering; blind receiver estimation; constrained RLS; linearly constrained minimum variance;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communication Systems (ISWCS), 2010 7th International Symposium on

Conference_Location

York

ISSN

2154-0217

Print_ISBN

978-1-4244-6315-2

Type

conf

DOI

10.1109/ISWCS.2010.5624260

Filename

5624260