Title :
Average ML Asymptotic Performances of Different Serial Turbo Ensembles
Author :
Fagnani, Fabio ; Garello, Roberto ; Garin, Federica
Author_Institution :
Dipartimento di Matematica, Politecnico di Torino, Turin
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
Keywords :
concatenated codes; error statistics; interleaved codes; maximum likelihood estimation; turbo codes; ML error probability; interleaver ensembles; serial turbo ensembles; serially concatenated schemes; Code standards; Concatenated codes; Convergence; Error probability; H infinity control; Performance analysis; Signal to noise ratio; State estimation; Turbo codes; Upper bound;
Conference_Titel :
Information Theory, 2006 IEEE International Symposium on
Conference_Location :
Seattle, WA
Print_ISBN :
1-4244-0505-X
Electronic_ISBN :
1-4244-0504-1
DOI :
10.1109/ISIT.2006.261781
