학술논문

Average ML Asymptotic Performances of Different Serial Turbo Ensembles
Document Type
Conference
Source
2006 IEEE International Symposium on Information Theory Information Theory, 2006 IEEE International Symposium on. :572-576 Jul, 2006
Subject
General Topics for Engineers
Communication, Networking and Broadcast Technologies
Signal Processing and Analysis
Error probability
Concatenated codes
Turbo codes
H infinity control
Performance analysis
Code standards
Upper bound
Signal to noise ratio
Convergence
State estimation
Language
ISSN
2157-8095
2157-8117
Abstract
In this paper we study the ML error probability of serially concatenated schemes averaged over different interleaver ensembles. We prove asymptotic results when the interleaver length goes to infinity: differently from the parallel case, the choice of the ensemble can change the decreasing speed of error probability.