Comparison between Modified Bahl, Cocke, Jelinek, and Raviv (BCJR) and Soft Output Viterbi Algorithm (SOVA) Decoders Over Additive White Gaussian Noise (AWGN) Channel

Authors

  • Maha George Zia Electrical Engineering Department, College of Engineering, Al-Mustansiriyah University, Baghdad, Iraq Author
  • Khaleel Abdul Khader Saleh Electrical Engineering Department, College of Engineering, Al-Mustansiriyah University, Baghdad, Iraq Author

Keywords:

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Abstract

urbo codes are suitable for deep-space communications, because of the codes astonishing performance at low values of signal to noise ratio (SNR) and their ability to achieve near Shannon limit of channel capacity.
In this paper the performance of turbo codes in AWGN channel is evaluated under different conditions and circumstances. The deep-space channel is almost exactly modeled as a memoryless additive white Gaussian noise (AWGN) channel that formed the basis for Shannon’s noisy channel coding theorem.
A comparison between the modified BCJR* decoder, which uses modified forward-backward metrics and the Soft Output Viterbi Algorithm (SOVA) decoder, is also presented.
Simulation results for the turbo encoder-decoder system show that care must be taken in choosing different parameters that govern the turbo encoder- decoder scheme, also the enhancement is required for low rate (rate 1/4) turbo encoder that uses symmetrical component encoder.

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Key Dates

Published

2007-12-01

Issue

Vol. 11 No. 3 (2007): Journal of Engineering and Development

Section

Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

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How to Cite

Comparison between Modified Bahl, Cocke, Jelinek, and Raviv (BCJR) and Soft Output Viterbi Algorithm (SOVA) Decoders Over Additive White Gaussian Noise (AWGN) Channel. (2007). Journal of Engineering and Sustainable Development, 11(3), 61-75. https://jeasd.uomustansiriyah.edu.iq/index.php/jeasd/article/view/1744