Title :
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
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;
Conference_Titel :
Wireless Communication Systems (ISWCS), 2010 7th International Symposium on
Conference_Location :
York
Print_ISBN :
978-1-4244-6315-2
DOI :
10.1109/ISWCS.2010.5624260
