Computer Science – Information Theory
Scientific paper
2005-08-11
Computer Science
Information Theory
To appear in the Proceedings of the 2005 IEEE International Symposium on Information Theory, Adelaide, Australia, September 4-
Scientific paper
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.
Carrasco Rodrigo
Chatzigeorgiou Ioannis
Rodrigues Miguel R. D.
Wassell Ian J.
No associations
LandOfFree
On the Performance of Turbo Codes in Quasi-Static Fading Channels does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with On the Performance of Turbo Codes in Quasi-Static Fading Channels, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and On the Performance of Turbo Codes in Quasi-Static Fading Channels will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-277445