By Topic

A per-survivor Kalman-based prediction filter for space-time coded systems

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

2 Author(s)
Der-Feng Tseng ; Graduate Inst. of Comms. Eng, Tatung Univ., Taipei, Taiwan ; Shu-Ming Tseng

Space-time codes have been proposed as an efficient way for improving the data rates over fading channels by employing multiple transmit/receive antennas in wireless digital communications links. To realize these gains, channel state information is assumed to be available and approximated to be constant during a data transmission burst. In this paper, a per-survivor processing (PSP) which incorporates statistical channel modeling and Kalman filtering to perform maximum-likelihood sequence estimation (MLSE) is presented to jointly estimate the channels and detect the transmitted symbols in a fast fading environment. The fading channel is modeled to be a Gauss-Markov random process to characterize the time variation. A space-time pilot symbol sequence to achieve the diversity/coding gains is also designed to initialize the channel estimates. Simulation results demonstrate this optimal Kalman-based approach could achieve better tracking performance in terms of bit error probability than that of recursive least squares (RLS) tracking method over fast Rayleigh flat fading channels.

Published in:

Communication Systems, 2002. ICCS 2002. The 8th International Conference on  (Volume:1 )

Date of Conference:

25-28 Nov. 2002