Blind equalization algorithm based on forward neural network in QAM system

Access Full Text

Blind equalization algorithm based on forward neural network in QAM system

For access to this article, please select a purchase option:

Buy conference paper PDF
£12.50
(plus tax if applicable)
Add to cart
Buy Knowledge Pack
10 articles for £75.00
(plus taxes if applicable)
Add to cart

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
IET International Conference on Wireless Mobile and Multimedia Networks Proceedings (ICWMMN 2006) — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

  • DOI:  10.1049/cp:20061346
  • ISBN: 0 86341 644 6
  • Location: Hangzhou, China
  • Conference date: 6-9 Nov. 2006
  • Format: PDF
In this paper, an improved blind equalization algorithm based on multiple-layer forward neural network is proposed, and a new transfer function for the neural network is designed. The computer simulations show that the improved algorithm have faster convergence speed and smaller bit error rate than traditional forward neural network algorithm. (4 pages)

Inspec keywords: transfer functions; telecommunication computing; blind equalisers; quadrature amplitude modulation; feedforward neural nets; error statistics

Subjects: Other topics in statistics; Other topics in statistics; Communications computing; Communication channel equalisation and identification; Modulation and coding methods; Neural computing techniques

Related content

content/conferences/10.1049/cp_20061346
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading