By Topic

Novel adaptive signal processing algorithms for multiuser detection

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Levendovszky, J. ; Dept. of Telecommun., Budapest Univ. of Technol. & Econ., Hungary ; Kovacs, L. ; Jeneyi, G.

The paper is concerned with developing novel multiuser detection algorithms. The main stress is on blind decorrelation of weakly stationary processes which can successfully combat multiuser interference (MUI) and intersymbol interference (ISI). The detector architecture includes an adaptive channel identifier (capable of blind decorrelation), followed by a stochastic Hopfield net which performs the task of multiuser detection. The key contribution to mobile communication lies in two factors: (i) blind decorrelation which can identify the channel even in the case of fading; (ii) the use of the stochastic Hopfield net which can guarantee good performance due to its ability to reach the global minimum of the associated quadratic form. The proposed detector structure is proven to be superior to the RAKE or Viterbi receivers. The results are demonstrated by simulations as well.

Published in:

Video/Image Processing and Multimedia Communications 4th EURASIP-IEEE Region 8 International Symposium on VIPromCom

Date of Conference: