By Topic

Universal non-data-aided small-sample-support adaptive spread-spectrum receivers

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)
Ping Xiong ; Integration Associates, Mountain View, CA ; Batalama, S.N.

We revisit the problem of recovering a spread-spectrum (SS) signal in the presence of unknown correlated SS interference and additive Gaussian or impulsive noise. The general receiver structure is composed of an adaptive chip-based nonlinear pre-processor followed by an adaptive linear filter. We propose two blind algorithms for the adaptation of the parameters of the nonlinear pre-processor that are based on the Fisher discriminant function evaluated at the linear filter output. The first algorithm couples itself with the adaptation of the linear post-processor, while the second algorithm is a decoupled procedure that is independent of the linear post-processor. Both algorithms lead to universal receiver solutions in the sense that they mitigate a wide range of additive noise effects (from purely Gaussian to impulsive) and correlated SS interference. Both algorithms offer superior detection performance when receiver adaptation is carried out with limited input data observations

Published in:

Wireless Communications, IEEE Transactions on  (Volume:6 ,  Issue: 1 )