Home>Results

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

[期刊论文]

Fast detection approach of time-frequency overlapped hybrid division multiplexing system

Share
Edit Delete 报错

Author:

Wang, Hao (Wang, Hao.) | Sun, Yan-Hua (Sun, Yan-Hua.) | Li, Dao-Ben (Li, Dao-Ben.)

Indexed by:

EI PKU CSCD

Abstract:

In order to improve spectrum efficiency of communication system, a novel time-frequency overlapped hybrid division multiplexing system was researched. A rapid detection algorithm based on Gabor transform and an improved detection algorithm using error back propagation method was proposed. The simulation results show that the proposed rapid detection algorithm obtains significant increase in detection speed at the expense of some performance compared with maximum likelihood sequence estimation algorithm, and that the improved detection algorithm is a good compromise between system performance and detection speed and its performance is still better than the high level modulation with the same spectrum efficiency at a high signal to noise ratio. This shows that improving the transmission data rate with overlapped signals can achieve greater gains than using high-level QAM modulation with the same spectrum efficiency.

Keyword:

Signal detection Signal to noise ratio Frequency estimation Signal receivers Backpropagation algorithms Maximum likelihood estimation Multiplexing equipment Efficiency Modulation

Author Community:

  • [ 1 ] [Wang, Hao]Potevio Institute of Technology Co. Ltd., Beijing 100080, China
  • [ 2 ] [Sun, Yan-Hua]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100022, China
  • [ 3 ] [Li, Dao-Ben]Potevio Institute of Technology Co. Ltd., Beijing 100080, China

Reprint Author's Address:

Show more details

Source :

Journal of the University of Electronic Science and Technology of China

ISSN: 1001-0548

Year: 2010

Issue: 4

Volume: 39

Page: 537-541,555

Cited Count:

WoS CC Cited Count:

30 Days PV: 0

Affiliated Colleges:

Online/Total:150/5829055
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.