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

Zheng-Min KONG; Liang ZHONG; Guang-Xi ZHU; Li DING

doi:10.1631/jzus.C1000257

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

电子工程 | Updated：2022-08-31

- Differential multiuser detection using a novel genetic algorithm for ultra-wideband systems in lognormal fading channel
- Differential multiuser detection using a novel genetic algorithm for ultra-wideband systems in lognormal fading channel
- 信息与电子工程前沿（英文） 2011年12卷第9期页码：754-765
- Affiliations：
  
  1.Department of Automation,Wuhan University,Wuhan 430072,China
  2.Wuhan National Laboratory for Optoelectronics, of Science & Technology, 430074,China
  3.Department of Electronics and Information Engineering, of Science & Technology, 430074,China
- Author bio：
  
  E-mail:kongzhengmin5@163.com
  ‡Corresponding Author
- Funds：
- DOI：10.1631/jzus.C1000257
  中图分类号：
- 收稿：2010-07-21，
  
  修回：2011-07-29，
  
  录用：2010-12-06，
  
  纸质出版：2011-09
- Accepted：
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Differential multiuser detection using a novel genetic algorithm for ultra-wideband systems in lognormal fading channel[J]. 信息与电子工程前沿（英文）, 2011,12(9):754-765.

Zheng-Min KONG, Liang ZHONG, Guang-Xi ZHU, et al. Differential multiuser detection using a novel genetic algorithm for ultra-wideband systems in lognormal fading channel[J]. Frontiers of Information Technology & Electronic Engineering, 2011, 12(9): 754-765.
Differential multiuser detection using a novel genetic algorithm for ultra-wideband systems in lognormal fading channel[J]. 信息与电子工程前沿（英文）, 2011,12(9):754-765. DOI： 10.1631/jzus.C1000257.

Zheng-Min KONG, Liang ZHONG, Guang-Xi ZHU, et al. Differential multiuser detection using a novel genetic algorithm for ultra-wideband systems in lognormal fading channel[J]. Frontiers of Information Technology & Electronic Engineering, 2011, 12(9): 754-765. DOI： 10.1631/jzus.C1000257.

摘要

Abstract

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.

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相关机构

College of Mechanical and Electrical Engineering, Harbin Engineering University

Department of Electronics and Information Engineering, Huazhong University of Science and Technology

Wuhan National Lab for Optoelectronics, Huazhong University of Science and Technology

Department of Electronic Science and Technology, Huazhong University of Science and Technology

State Key Laboratory of Industrial Control Technology, Zhejiang University

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