By Topic

Bayesian equalization for satellite communications with multipath and burst digital transmission

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
$33 $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

1 Author(s)
Qilian Liang ; Dept. of Electr. Eng., Texas Univ., Arlington, TX, USA

In this paper, we present a channel equalization scheme for time-division multiple access (TDMA) satellite communications with burst digital transmission. We show that each channel states of the multipath satellite channel follows a Gaussian distribution, which means a Bayesian equalization can be implemented. The parameters of the Bayesian equalization are determined using an unsupervised clustering method - the fuzzy c-means (FCM) method. An extremely small number of training symbols (about 1% of a burst) are used to determine the category of each channel state with the aid of data mining. Simulation results show that our Bayesian equalizer performs much better than the recently proposed nearest neighbor classifier-based equalizer at moderate to high signal-to-noise ratio (SNR).

Published in:

Global Telecommunications Conference, 2002. GLOBECOM '02. IEEE  (Volume:3 )

Date of Conference:

17-21 Nov. 2002