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CLC number: TN929.5

On-line Access: 2011-09-09

Received: 2010-07-21

Revision Accepted: 2010-12-06

Crosschecked: 2011-07-29

Cited: 1

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Journal of Zhejiang University SCIENCE C 2011 Vol.12 No.9 P.754-765


Differential multiuser detection using a novel genetic algorithm for ultra-wideband systems in lognormal fading channel

Author(s):  Zheng-min Kong, Liang Zhong, Guang-xi Zhu, Li Ding

Affiliation(s):  Department of Automation, Wuhan University, Wuhan 430072, China, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science & Technology, Wuhan 430074, China, Department of Electronics and Information Engineering, Huazhong University of Science & Technology, Wuhan 430074, China

Corresponding email(s):   kongzhengmin5@163.com, gxzhu@126.com

Key Words:  Multiuser detection (MUD), Ultra-wideband (UWB), Genetic algorithm (GA), Complementary error function mutation (CEFM), Differential algorithm (DA)

Zheng-min Kong, Liang Zhong, Guang-xi Zhu, Li Ding. Differential multiuser detection using a novel genetic algorithm for ultra-wideband systems in lognormal fading channel[J]. Journal of Zhejiang University Science C, 2011, 12(9): 754-765.

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publisher="Zhejiang University Press & Springer",

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%T Differential multiuser detection using a novel genetic algorithm for ultra-wideband systems in lognormal fading channel
%A Zheng-min Kong
%A Liang Zhong
%A Guang-xi Zhu
%A Li Ding
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%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.C1000257

T1 - Differential multiuser detection using a novel genetic algorithm for ultra-wideband systems in lognormal fading channel
A1 - Zheng-min Kong
A1 - Liang Zhong
A1 - Guang-xi Zhu
A1 - Li Ding
J0 - Journal of Zhejiang University Science C
VL - 12
IS - 9
SP - 754
EP - 765
%@ 1869-1951
Y1 - 2011
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.C1000257

We employ a multiuser detection (MUD) method using a novel genetic algorithm (GA) based on complementary error function mutation (CEFM) and a differential algorithm (DA) for ultra-wideband (UWB) systems. The proposed MUD method is termed CEFM-GA DA for short. We describe the scheme of CEFM-GA DA, analyze its algorithm, and compare its computational complexity with other MUDs. Simulation results show that a significant performance gain can be achieved by employing the proposed CEFM-GA DA, compared with successive interference cancellation (SIC), parallel interference cancellation (PIC), conventional GA, and CEFM-GA without DA, for UWB systems in lognormal fading channel. Moreover, CEFM-GA DA not only reduces computational complexity relative to conventional GA and CEFM-GA without DA, but also improves bit error rate (BER) performance.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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