Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

Turbo decoding for robust multiuser detection in impulsive noise channels

Turbo decoding for robust multiuser detection in impulsive noise channels

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

Buy article 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:
 
 
 
 
 
Electronics Letters — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

© IEE
Published

A more robust version of the nonlinear M-decorrelating detector through iterative (turbo) decoding is proposed. Turbo code performance in the linear decorrelating detector is also studied. Simulation results indicate that combined nonlinear signal processing and turbo decoding can achieve highly robust performance in impulsive noise.

Inspec keywords: recurrent neural nets; code division multiple access; signal processing; decorrelation; signal detection; iterative decoding; impulse noise; turbo codes; multiuser channels

Other keywords: iterative decoding; nonlinear signal processing; synchronous CDMA system; nonlinear M-decorrelating detector; simulation results; recurrent neural network; robust multiuser detection; turbo decoding; linear decorrelating detector; impulsive noise channels; turbo code performance

Subjects: Codes; Multiple access communication; Signal processing and detection; Signal detection

References

    1. 1)
      • Chuah, T.C., Sharif, B.S., Hinton, O.R.: `A neural network approach to DS-CDMA multiuser detection in impulsive channels', Proc. Int. Conf. Information, Communication, Signal Processing, October 2001, Singapore.
    2. 2)
    3. 3)
      • P.J. Huber . (1981) Robust statistics.
    4. 4)
      • J.M. Steele , W.L. Steiger . Algorithms and complexity for least median of squares regression. Discrete Appl. Math. , 93 - 100
    5. 5)
      • F.R. Hampel . A general qualitative definition of robustness. Ann. Math. Stat. , 1887 - 1896
    6. 6)
    7. 7)
      • C.L. Nikas , M. Shao . (1995) Signal processing with alpha-stable distributions and applications.
    8. 8)
    9. 9)
      • P.J. Rousseeuw . Least median of squares regression. J. Am. Stat. Assoc. , 871 - 880
http://iet.metastore.ingenta.com/content/journals/10.1049/el_20020315
Loading

Related content

content/journals/10.1049/el_20020315
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
Print this page
This is a required field
Please enter a valid email address