Title :
Encoding and decoding for turbo-like codes
Author_Institution :
Centre Tecnol. de Telecomunicacions (CTTC), Barcelona, Spain
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;
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
DOI :
10.1109/CAMAD.2012.6335318
