Toggle Main Menu Toggle Search

Open Access padlockePrints

The Newcastle University research output collection, currently available on ePrints, will shortly be moving to a new open repository platform, Figshare. To prepare for the data migration we have paused adding new content to ePrints, and will resume once the new repository is launched. During this time you will continue to have access to ePrints (but no new content will appear). We will share updates here when available.

Nonlinear space-time multiuser detector for non-gaussian channels

Lookup NU author(s): Adel Hmidat, Professor Bayan Sharif, Dr Wai Lok Woo

Downloads

Full text for this publication is not currently held within this repository. Alternative links are provided below where available.


Abstract

A space-time nonlinear receiver for a DS-CDMA synchronous channel is proposed for jointly mitigating impulsive noise and multiple access interference. The proposed scheme combines linear decorrelators and antenna arrays with nonlinear front ends based on the Affinity Matched Myriad nonlinear filter. This Myriad (log Cauchy) filter is incorporated to combat the impulsive noise and prevent it from entering the system. The proposed detector also incorporates a structure for estimating the impulsive noise parameter in order to update a filter parameter called the nonlinearity parameter. Monte Carlo simulation results of the proposed space-time receiver are presented to justify the relative merits of nonlinear signal processing in the space-time domain.


Publication metadata

Author(s): Hmidat AM, Sharif BS, Woo WL, Jimma SA

Editor(s): Puliafito A, Papavassiliou S

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 9th International Symposium on Computers and Communications (ISCC 2004)

Year of Conference: 2004

Pages: 610-614

ISSN: 1530-1346

Publisher: IEEE Computer Society

URL: http://dx.doi.org/10.1109/ISCC.2004.1358606

DOI: 10.1109/ISCC.2004.1358606

Library holdings: Search Newcastle University Library for this item

ISBN: 078038623X


Share