Comparative analysis of the complexity of decoding methods for turbo codes

Authors

  • Anatolii Yaroslavovych Kulyk Vinnytsia National Technical University, (0432) 598437, Khmelnytsky Highway 95, Vinnitsa, Ukraine, 21021
  • Serhii Hryhorovych Kryvohubenko Vinnytsia National Technical University, (0432) 598437, Khmelnytsky Highway 95, Vinnitsa, Ukraine, 21021
  • Yurii Yuriiovych Ivanov Vinnytsia National Technical University, (0432) 546443, Khmelnytsky Highway 95, Vinnitsa, Ukraine, 21021

Keywords:

protecting coding, turbo-code, a generalized structure for work with information, LLR, the Viterbi algorithm, SOVA, MAP, log-MAP, max-log-MAP, the complexity of decoding turbo-codes

Abstract

Considered problems of turbo coding, promising for using in distributed computer systems of different functional purpose. Analysed SOVA, MAP, log-MAP and max-log-MAP algorithms. Completed the estimation complexity turbo-code decoding. Simulating the use of methods decoding turbo-codes for building hardware and software decoding signals in communication systems using the processing power of technical means and with research of probabilistic-energy characteristics.

Author Biographies

Anatolii Yaroslavovych Kulyk, Vinnytsia National Technical University, (0432) 598437, Khmelnytsky Highway 95, Vinnitsa, Ukraine, 21021

Ph.D., Professor, Department of Automation and Information-Measuring Instruments

Serhii Hryhorovych Kryvohubenko, Vinnytsia National Technical University, (0432) 598437, Khmelnytsky Highway 95, Vinnitsa, Ukraine, 21021

Ph.D., assistant professor of automation and information-measuring devices

Yurii Yuriiovych Ivanov, Vinnytsia National Technical University, (0432) 546443, Khmelnytsky Highway 95, Vinnitsa, Ukraine, 21021

student of the Faculty of Automation and Computer Control Systems InAECCS

Downloads

Abstract views: 267

How to Cite

[1]
A. Y. Kulyk, S. H. Kryvohubenko, and Y. Y. Ivanov, “Comparative analysis of the complexity of decoding methods for turbo codes”, ІТКІ, vol. 26, no. 1, Nov. 2013.

Issue

Section

Information technology and coding theory

Metrics

Downloads

Download data is not yet available.