• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
搜索

Author:

Sun, Yan-Hua (Sun, Yan-Hua.) | Wang, Hao (Wang, Hao.) | Zhang, Yan-Hua (Zhang, Yan-Hua.) (Scholars:张延华)

Indexed by:

EI Scopus PKU CSCD

Abstract:

Aiming at the high complexity of non-linear combined quantization caused by constellation biased distribution in lattice reduction aided (LRA) multiple input multiple output (MIMO) detection, a sorted feedback non-linear quantization scheme is proposed. It considers the border of transformed constellation and the correlations between elements, meanwhile, the element is selected to be quantized according to the value of the quantization errors. Simulation shows that the performance of LRA MIMO detection based on this quantization scheme is superior to the performance of LRA MIMO detection based on non-sorted feedback and independent element quantization. Furthermore, the LRA MIMO detection based on the proposed scheme can approach the performance of maximum likelihood detection in polynomial complexity in a flat fading channel.

Keyword:

Signal detection Codes (symbols) Telecommunication repeaters Maximum likelihood Fading channels Feedback control MIMO systems

Author Community:

  • [ 1 ] [Sun, Yan-Hua]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 2 ] [Wang, Hao]Potevio Institute of Technology Company Limited, Beijing 100080, China
  • [ 3 ] [Zhang, Yan-Hua]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China

Reprint Author's Address:

Show more details

Related Keywords:

Source :

Journal of Beijing University of Posts and Telecommunications

ISSN: 1007-5321

Year: 2010

Issue: 1

Volume: 33

Page: 18-22

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 9

Online/Total:1989/10891259
Address:BJUT Library(100 Pingleyuan,Chaoyang District,Beijing 100124, China Post Code:100124) Contact Us:010-67392185
Copyright:BJUT Library Technical Support:Beijing Aegean Software Co., Ltd.