Laminated turbo codes: A new class of block-convolutional codes

Author

Huebner, A. ; Zigangirov, K.Sh. ; Costello, Daniel J.

Author_Institution

Infineon Technol. AG, Neubiberg

Volume

54

Issue

7

fYear

2008

fDate

7/1/2008 12:00:00 AM

Firstpage

3024

Lastpage

3034

Abstract

In this paper, a new class of codes is presented that features a block-convolutional structure-namely, laminated turbo codes. It allows combining the advantages of both a convolutional encoder memory and a block permutor, thus allowing a block-oriented decoding method. Structural properties of laminated turbo codes are analyzed and upper and lower bounds on free distance are obtained. It is then shown that the performance of laminated turbo codes compares favorably with that of turbo codes. Finally, we show that laminated turbo codes provide high rate flexibility without suffering any significant performance degradation.

Keywords

block codes; convolutional codes; turbo codes; block permutor; block-convolutional codes; block-oriented decoding method; convolutional encoder memory; laminated turbo codes; Block codes; Code standards; Concatenated codes; Convolution; Convolutional codes; Degradation; Iterative algorithms; Iterative decoding; Signal to noise ratio; Turbo codes; Convolutional codes; free distance; iterative decoding; multiple turbo codes; parallel concatenated convolutional codes; serially concatenated convolutional codes; turbo codes;

fLanguage

English

Journal_Title

Information Theory, IEEE Transactions on

Publisher

ieee

ISSN

0018-9448

Type

jour

DOI

10.1109/TIT.2008.924702

Filename

4544970