By Topic

Adaptive channel estimation using the GOBA algorithm for turbo codes in Rayleigh flat-fading 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
$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

3 Author(s)
Chin-Liang Wang ; Inst. of Commun. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan ; Jah-Ming Hsu ; Ting-Yang Chang

Performance of turbo codes in fading channels can be improved when the channel fading amplitudes are available at the turbo decoders, conventionally, channel estimation and turbo-decoding are treated as two independent tasks. In this paper, we propose an iterative structure for fading amplitude estimation where turbo-decoder decisions are directed to an adaptive channel estimator using the general optimum block adaptive (GOBA) algorithm. The performance of a turbo-coding system with the proposed channel estimation structure is also investigated through computer simulations for correlated Rayleigh flat-fading channels. This decision-directed approach for channel re-estimation combined with the excellent tracking capability of the GOBA algorithm significantly improves the turbo-coding system performance. Computer simulation results show that its bit error rate performance is close to that of a system with perfect knowledge of fading amplitudes especially for fast-fading channels

Published in:

Circuits and Systems, 2000. Proceedings. ISCAS 2000 Geneva. The 2000 IEEE International Symposium on  (Volume:4 )

Date of Conference: