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Reduced complexity optimum detector for block data transmission systems

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Main Authors: S. P. K., Babu, M. F. M., Salleh, Farid, Ghani
Other Authors: fadzlisalleh@eng.usm.my
Format: Article
Language:English
Published: The Institute of Electronics, Information and Communication Engineers 2010
Subjects:
Additive white gaussian noise
Block Transmission
Dispersive channels
Genetic algorithms
Inter Symbol Interference
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/8691
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spelling my.unimap-86912010-08-16T04:00:09Z Reduced complexity optimum detector for block data transmission systems S. P. K., Babu M. F. M., Salleh Farid, Ghani fadzlisalleh@eng.usm.my Additive white gaussian noise Block Transmission Dispersive channels Genetic algorithms Inter Symbol Interference Link to publisher's homepage at http://www.elex.ieice.org/ Block Data Transmission Systems (BDTS) are used in high-speed wireless communication systems with time dispersive channel characteristics. In such systems, blocks of data are separated by zeros to mitigate the effect of Inter-Symbol-Interference (ISI) between the blocks. An optimal detection process employs the Maximum Likelihood Block Detection (MLBD) technique on each block individually in the presence of ISI and Gaussian noise based on the Euclidean distance as an objective function. The detection process is computationally expensive therefore Genetic Algorithms have been used to reduce the overall design complexity. In this work, three types of Genetic Algorithms have been incorporated in the detection process i.e. the conventional GA, Micro GA(μGA), and Hybrid μGA to reduce computational load. In particular, a novel training method for Hybrid μGA has been proposed. Simulation results at 10dB channel SNR for the BDTS with Hybrid μGA executes as low as 3,750 number of objective functions evaluation for a block size of 20. The Bit Error Rate (BER) performance of this system is relatively good i.e. around 1dB inferior to the BDTS using the Exhaustive Search method that requires as many as 220 number of objective functions evaluation. 2010-08-16T04:00:08Z 2010-08-16T04:00:08Z 2009-12-10 Article IEICE Electronics Express, vol. 6(23), 2009, pages 1649-1655 1349-2543 http://www.jstage.jst.go.jp/article/elex/6/23/6_1649/_article http://hdl.handle.net/123456789/8691 en The Institute of Electronics, Information and Communication Engineers
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Additive white gaussian noise
Block Transmission
Dispersive channels
Genetic algorithms
Inter Symbol Interference
spellingShingle Additive white gaussian noise
Block Transmission
Dispersive channels
Genetic algorithms
Inter Symbol Interference
S. P. K., Babu
M. F. M., Salleh
Farid, Ghani
Reduced complexity optimum detector for block data transmission systems
description Link to publisher's homepage at http://www.elex.ieice.org/
author2 fadzlisalleh@eng.usm.my
author_facet fadzlisalleh@eng.usm.my
S. P. K., Babu
M. F. M., Salleh
Farid, Ghani
format Article
author S. P. K., Babu
M. F. M., Salleh
Farid, Ghani
author_sort S. P. K., Babu
title Reduced complexity optimum detector for block data transmission systems
title_short Reduced complexity optimum detector for block data transmission systems
title_full Reduced complexity optimum detector for block data transmission systems
title_fullStr Reduced complexity optimum detector for block data transmission systems
title_full_unstemmed Reduced complexity optimum detector for block data transmission systems
title_sort reduced complexity optimum detector for block data transmission systems
publisher The Institute of Electronics, Information and Communication Engineers
publishDate 2010
url http://dspace.unimap.edu.my/xmlui/handle/123456789/8691
_version_ 1643789181388849152
score 13.222552

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