By Topic

Improved robust multiuser detection in non-Gaussian channels

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

2 Author(s)
Spasojevic, P. ; Dept. of Electr. & Comput. Eng., Rutgers Univ., Piscataway, NJ, USA ; Xiaodong Wang

A new technique is proposed for robust multiuser detection in the presence of non-Gaussian ambient noise. This method is based on minimizing a certain cost function (e.g., the Huber penalty function) over a discrete set of candidate user bit vectors. The set of candidate points are chosen based on the so-called "slowest-descent search." starting from the estimate closest to the unconstrained minimizer of the cost function and along mutually orthogonal directions where this cost function grows the slowest. Simulation results show that this new technique offers substantial performance improvement over the previously proposed robust multiuser detectors with little attendant increase in computational complexity.

Published in:

Signal Processing Letters, IEEE  (Volume:8 ,  Issue: 3 )