Bit Error Rate Improvement Using Soft Outputs of MAP Decoder and Avalanche Effect of Block Ciphers


A new approach of forward error correction (FEC) using soft outputs of Maximum A Posteriori Algorithm (MAP) and avalanche effect of block ciphers is presented to achieve bit error rate improvement in contrast to traditional FEC. We present application of cryptography for error correction instead of security. The main idea is to improve convolutional decoding by introducing cryptography into code concatenation in a role of an outer code. The channel coding has a function of inner code. The performance of proposed approach is evaluated in the presence of Additive White Gaussian Noise (AWGN) showing coding gain of about 0.65 dB in comparison to the results of convolutional coding with the same coding rate.

  • Abstract
  • Keywords
  • Introduction
  • Forward Error Correction Using Convolutional Coding with MAP Decoding
  • FEC Scheme Using Block Ciphers
  • Simulation Results
  • Conclusion
  • Acknowledgment
  • References
Topics: Errors

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