Turbo Decoding of High Performance Error-Correcting Codes via Belief Propagation

Abstract

We studied AWGN coding theorems for ensembles of coding systems which are built from fixed convolutional codes interconnected with random interleavers. We call these systems turbo-like codes and they include as special cases both the classical turbo codes and the serial concatenation of interleaved convolutional codes. We offered a general conjecture about the behavior of the ensemble (maximum-likehood decoder) word error probability as the word length approaches infinity. We proved this conjecture for a simple class of rate l/q serially concatenated codes where the outer code is a q-fold repetition code and the inner code is rate 1 convolutional code with transfer function 1/(1+D). We call these codes "RA" (repeat and accumulate) codes. This was the first rigorous proof of a coding theorem for turbo-like codes.

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Document Details

Document Type
Technical Report
Publication Date
Dec 31, 1998
Accession Number
ADA386532

Entities

People

  • Padhraic Smyth
  • Robert Mceliece

Organizations

  • California Institute of Technology

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  • Abstracts
  • Air Force
  • California
  • Classification
  • Coding
  • Computer Programming
  • Decoding
  • Electrical Engineering
  • Engineering
  • Mathematics
  • Monitoring
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  • Transfer Functions

Fields of Study

  • Engineering

Readers

  • Mathematical Modeling and Probability Theory.
  • Parallel and Distributed Computing.
  • Radio communications and signal processing.