A Linearly Constrained IQRD-RLS Algorithm for Blind Multiuser Detection in CDMA Systems

César A. Medina, Raimundo Sampaio-Neto

DOI: 10.14209/sbrt.2010.104

Evento: VII International Telecommunications Symposium (ITS2010)

Keywords: CDMA blind receiver estimation linearly constrained minimum variance IQRD-RLS filtering constrained RLS

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 in finite precision environments 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.

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