Publication detail

Simulation of turbo convolutional codes

ŠEDÝ, J. ŠILHAVÝ, P.

Original Title

Simulation of turbo convolutional codes

English Title

Simulation of turbo convolutional codes

Type

conference paper

Language

en

Original Abstract

Turbo codes show a large code gain at high data rates and even with a relatively simple implementation. Properties of these codes provide a low error rate at low values of signal-noise ratio that is close to the Shannon limit. The article is focused on the issue of turbo convolutional code encoder design and coding of these codes. Furthermore, it presents the principle of iterative decoding of these codes using the Viterbi algorithm with soft input and soft output. The performance of turbo convolutional code is demonstrated in simulations. These simulations are performed based on the code optional parameters that affect the bit error rate, code gain and computational complexity.

English abstract

Turbo codes show a large code gain at high data rates and even with a relatively simple implementation. Properties of these codes provide a low error rate at low values of signal-noise ratio that is close to the Shannon limit. The article is focused on the issue of turbo convolutional code encoder design and coding of these codes. Furthermore, it presents the principle of iterative decoding of these codes using the Viterbi algorithm with soft input and soft output. The performance of turbo convolutional code is demonstrated in simulations. These simulations are performed based on the code optional parameters that affect the bit error rate, code gain and computational complexity.

Keywords

turbo encoder, turbo decoder, RSC, SOVA, LLR, iterative decoding

RIV year

2012

Released

12.09.2012

Location

Žilina, Slovenská republika

ISBN

978-80-554-0570-4

Book

Research in Telecommunication Technologies 2012

Edition

1

Edition number

1

Pages from

235

Pages to

240

Pages count

6

BibTex


@inproceedings{BUT94114,
  author="Jakub {Šedý} and Pavel {Šilhavý}",
  title="Simulation of turbo convolutional codes",
  annote="Turbo codes show a large code gain at high data rates and even with a relatively simple implementation. Properties of these codes provide a low error rate at low values of signal-noise ratio that is close to the Shannon limit. The article is focused on the issue of turbo convolutional code encoder design and coding of these codes. Furthermore, it presents the principle of iterative decoding of these codes using the Viterbi algorithm with soft input and soft output. The performance of turbo convolutional code is demonstrated in simulations. These simulations are performed based on the code optional parameters that affect the bit error rate, code gain and computational complexity.",
  booktitle="Research in Telecommunication Technologies 2012",
  chapter="94114",
  edition="1",
  howpublished="electronic, physical medium",
  year="2012",
  month="september",
  pages="235--240",
  type="conference paper"
}