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December 30, 20026,715 citations

Near Shannon limit error-correcting coding and decoding: Turbo-codes. 1

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CBClaude BerrouAGAlain GlavieuxPTPunya Thitimajshima

Key Points

  • This research explores the performance of turbo-codes in achieving low bit error rates near the Shannon limit.
  • Developed turbo-code encoder using parallel concatenation of two recursive systematic convolutional codes.
  • Implemented decoder as a feedback decoding rule with P pipelined identical elementary decoders.
  • Turbo-codes achieve bit error rate performance approaching the Shannon limit, signifying efficient data communication.
  • The design details of encoding and decoding processes highlight advanced error-correction capabilities.

Abstract

A new class of convolutional codes called turbo-codes, whose performances in terms of bit error rate (BER) are close to the Shannon limit, is discussed. The turbo-code encoder is built using a parallel concatenation of two recursive systematic convolutional codes, and the associated decoder, using a feedback decoding rule, is implemented as P pipelined identical elementary decoders.>

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Cite This Study

Berrou et al. (2002) studied this question.

synapsesocial.com/papers/6a09834ba9b5885644343225https://doi.org/10.1109/icc.1993.397441
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