Neural network implementation of the BCJR algorithm

SAZLI M. H., Isik C.

DIGITAL SIGNAL PROCESSING, vol.17, no.1, pp.353-359, 2007 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 17 Issue: 1
  • Publication Date: 2007
  • Doi Number: 10.1016/j.dsp.2005.12.002
  • Journal Name: DIGITAL SIGNAL PROCESSING
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.353-359
  • Keywords: turbo codes, turbo coding/decoding, channel coding, Bahl algorithm, BCJR algorithm, MAP algorithm, neural networks, CODES
  • Ankara University Affiliated: Yes

Abstract

In this paper, we first show that the BCJR algorithm (or Bahl algorithm) can be implemented via some matrix manipulations. As a direct result of this, we also show that this algorithm is equivalent to a feedforward neural network structure. We verified through computer simulations that this novel neural network implementation yields identical results with the BOR algorithm. (c) 2006 Elsevier Inc. All rights reserved.