The University of Southampton
University of Southampton Institutional Repository

Adaptive Minimum Bit Error Rate Beamforming Assisted Receiver for QPSK Wireless Communication

Record type: Article

This paper considers interference limited communication systems where the desired user and interfering users are symbol-synchronized. A novel adaptive beamforming technique is proposed for quadrature phase shift keying (QPSK) receiver based directly on minimizing the bit error rate. It is demonstrated that the proposed minimum bit error rate (MBER) approach utilizes the system resource (antenna array elements) more intelligently, than the standard minimum mean square error (MMSE) approach. Consequently, an MBER beamforming assisted receiver is capable of providing significant performance gains in terms of a reduced bit error rate over an MMSE beamforming one. A block-data based adaptive implementation of the theoretical MBER beamforming solution is developed based on the classical Parzen window estimate of probability density function. Furthermore, a sample-by-sample adaptive implementation is also considered, and a stochastic gradient algorithm, called the least bit error rate, is derived for the beamforming assisted QPSK receiver. ? 2005 Elsevier Inc. All rights reserved.

PDF science.pdf - Other
Download (531kB)

Citation

Chen, S., Hanzo, L., Ahmad, N.N. and Wolfgang, A. (2005) Adaptive Minimum Bit Error Rate Beamforming Assisted Receiver for QPSK Wireless Communication Digital Signal Processing, 15, (6), pp. 545-567.

More information

Published date: November 2005
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 261502
URI: http://eprints.soton.ac.uk/id/eprint/261502
PURE UUID: bd327157-99c9-4990-bbcb-cf96a3c7d918

Catalogue record

Date deposited: 24 Oct 2005
Last modified: 18 Jul 2017 09:02

Export record

Contributors

Author: S. Chen
Author: L. Hanzo
Author: N.N. Ahmad
Author: A. Wolfgang

University divisions


Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×