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The smearing filter design techniques for data transmission

The smearing filter design techniques for data transmission

Oletu, Grace, Rapajic, Predrag, Anang, Kwashie, Wu, Ruiheng and Eneh, Titus (2012) The smearing filter design techniques for data transmission. In: 2012 IEEE Vehicular Technology Conference (VTC Fall) Proceedings. IEEE Conference Publications . Institution of Electrical and Electonic Engineers, Inc., Piscataway, NJ, USA. ISBN 978-1-4673-1881-5 ISSN 1090-3038 (doi:10.1109/VTCFall.2012.6398948)

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Abstract

Reducing Impulse noise is a very active research area in communication systems. This paper presents a digital smear-desmear technique (SDT) applied to data transmission over band limited channels. A generalized set of filter design criteria based on minimizing the average bit error probability is introduced. The design criteria were applied to a practical digital filter implementing SDT techniques. The SDT is simulated and combined with coded communication systems for high data transmission rate. Simulation results show that the SDT yields a significant improvement in bit error rates for coded systems subject to impulse noise, relative to the systems with no SDT. The technique also completely removes the error floor caused by the impulse noise. © 2012 IEEE.

Item Type: Conference Proceedings
Title of Proceedings: 2012 IEEE Vehicular Technology Conference (VTC Fall) Proceedings
Additional Information: [1] This paper was presented at the 2012 IEEE 76th Vehicular Technology Conference (VTC Fall 2012) which was held from 3-6 September 2012 in Quebec City, Canada. [2] INSPEC Accession Number: 13226282
Uncontrolled Keywords: bit error rate, correlation, data communication, loss measurement, signal to noise ratio, simulation, data communication, digital filters, error statistics, impulse noise
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Pre-2014 Departments: School of Engineering
Related URLs:
Last Modified: 14 Oct 2016 09:23
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/9543

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