Encoding and decoding for turbo-like codes

Author

Bas, J.

Author_Institution

Centre Tecnol. de Telecomunicacions (CTTC), Barcelona, Spain

fYear

2012

fDate

17-19 Sept. 2012

Firstpage

153

Lastpage

155

Abstract

Generally, the major part of communication systems use Turbo Codes (TC) and/or Low-Density Parity-Check (LDPC) codes to protect the data to transmit (e.g. 3GPP-LTE, IEEE 802.11p, IEEE 802.16, etc). Given that these coding strategies share similarities (e.g. two stage iterative decoding, Log-Likelihood Ratio based, etc.) in their respective encoding and decoding parts it is possible to express one code in terms of the other one. However, this conversion has some constraints, which have been formulated in this paper for different structures of convolutional codes. If these constraints are fulfilled the Bit Error Rate (BER) of Turbo Code using Believe Propagation (BP) decoding is quite similar to that offers the Bahl-Cocke-Jelinek-Raviv (BCJR) decoding.

Keywords

convolutional codes; encoding; error statistics; iterative decoding; parity check codes; turbo codes; 3GPP-LTE; BCJR decoding; BER; BP decoding; Bahl-Cocke-Jelinek-Raviv decoding; IEEE 802.11p; IEEE 802.16; LDPC codes; believe propagation decoding; bit error rate; coding strategy; communication systems; convolutional codes; encoding; log-likelihood ratio; low-density parity-check codes; stage iterative decoding; turbo codes; turbo-like codes; Convolutional codes; Decoding; Feedforward neural networks; Generators; Polynomials; Turbo codes; LDPC; Reconfigurable Physical Layer; Turbo-Code;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), 2012 IEEE 17th International Workshop on

Conference_Location

Barcelona

Print_ISBN

978-1-4673-3123-4

Electronic_ISBN

978-1-4673-3124-1

Type

conf

DOI

10.1109/CAMAD.2012.6335318

Filename

6335318