Lancaster EPrints

On the performance of turbo codes in quasi-static fading channels

Rodrigues, Miguel R. D. and Chatzigeorgiou, Ioannis and Wassell, Ian J. and Carrasco, Rolando (2005) On the performance of turbo codes in quasi-static fading channels. In: 2005 IEEE International Symposium on Information Theory. IEEE, pp. 622-626. ISBN 0-7803-9151-9

Full text not available from this repository.

Abstract

In this paper, we investigate in detail the performance of turbo codes in quasi-static fading channels both with and without antenna diversity. First, we develop a simple and accurate analytic technique to evaluate the performance of turbo codes in quasi-static fading channels. The proposed analytic technique relates the frame error rate of a turbo code to the iterative decoder convergence threshold, rather than to the turbo code distance spectrum. Subsequently, we compare the performance of various turbo codes in quasi-static fading channels. We show that, in contrast to the situation in the AWGN channel, turbo codes with different interleaver sizes or turbo codes based on RSC codes with different constraint lengths and generator polynomials exhibit identical performance. Moreover, we also compare the performance of turbo codes and convolutional codes in quasi-static fading channels under the condition of identical decoding complexity. In particular, we show that turbo codes do not outperform convolutional codes in quasi-static fading channels with no antenna diversity; and that turbo codes only outperform convolutional codes in quasi-static fading channels with antenna diversity

Item Type: Contribution in Book/Report/Proceedings
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments: Faculty of Science and Technology > School of Computing & Communications
ID Code: 49537
Deposited By: ep_importer_pure
Deposited On: 24 Aug 2011 16:18
Refereed?: No
Published?: Published
Last Modified: 10 Apr 2014 00:37
Identification Number:
URI: http://eprints.lancs.ac.uk/id/eprint/49537

Actions (login required)

View Item