By Topic

Optimal and suboptimal approaches for training sequence based spatio-temporal channel identification in colored noise

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)
Trigui, H. ; Inst. EURECOM, Sophia Antipolis, France ; Slock, D.T.M.

In wireless communications (with particular regard to digital mobile radio), spatial (via antenna arrays) and temporal (excess bandwidth) diversity may be exploited to simultaneously equalize a user of interest while canceling or reducing (cochannel) interfering users. This can be done using the interference canceling matched filter (ICMF) which we introduced previously. The ICMF depends on the channel for the user of interest, to be estimated with a training sequence, and a blind interference cancellation part. The critical part is the channel estimation. The usual least-squares method may lead to poor estimates in high interference environments. Significant improvements may result from the maximum-likelihood (ML) and suboptimal techniques investigated here.

Published in:

Signals, Systems & Computers, 1997. Conference Record of the Thirty-First Asilomar Conference on  (Volume:2 )

Date of Conference:

2-5 Nov. 1997