A low complex turbo decoding algorithm with early iteration termination

In this paper a log-MAP turbo decoding algorithm which incorporates reliability threshold based trellis branch elimination together with mean based early iteration termination has been proposed. The proposed algorithm reduces computational complexity by eliminating branches in trellis. Since the min...

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Published in:2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI) pp. 325 - 331
Main Authors: Seethal, C. R., Yamuna, B.
Format: Conference Proceeding
Language:English
Published: IEEE 01.09.2017
Subjects:
Complexity reduction
Complexity theory
Decoding
GNU Radio
Iteration termination
Iterative decoding
Mathematical model
Measurement
Reliability
Software
Turbo decoder
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Abstract In this paper a log-MAP turbo decoding algorithm which incorporates reliability threshold based trellis branch elimination together with mean based early iteration termination has been proposed. The proposed algorithm reduces computational complexity by eliminating branches in trellis. Since the minimum Log Likelihood Ratio (LLR) obtained for each iteration varies with channel conditions, an early iteration termination based on the mean of extrinsic information has been combined with branch elimination. Here, complexity mitigation is done both in terms of branch elimination and iteration reduction with negligible performance degradation. By reducing the computational complexity, decoding delay, power consumptions and error accumulation imparted by additional iterations etc can be minimized.
AbstractList In this paper a log-MAP turbo decoding algorithm which incorporates reliability threshold based trellis branch elimination together with mean based early iteration termination has been proposed. The proposed algorithm reduces computational complexity by eliminating branches in trellis. Since the minimum Log Likelihood Ratio (LLR) obtained for each iteration varies with channel conditions, an early iteration termination based on the mean of extrinsic information has been combined with branch elimination. Here, complexity mitigation is done both in terms of branch elimination and iteration reduction with negligible performance degradation. By reducing the computational complexity, decoding delay, power consumptions and error accumulation imparted by additional iterations etc can be minimized.
Author Seethal, C. R.
Yamuna, B.
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  givenname: B.
  surname: Yamuna
  fullname: Yamuna, B.
  email: b_yamuna@cb.amrita.edu
  organization: Dept. of Electron. & Commun. Eng., Amrita Univ., Coimbatore, India
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Snippet In this paper a log-MAP turbo decoding algorithm which incorporates reliability threshold based trellis branch elimination together with mean based early...
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StartPage 325
SubjectTerms Complexity reduction
Complexity theory
Decoding
GNU Radio
Iteration termination
Iterative decoding
Mathematical model
Measurement
Reliability
Software
Turbo decoder
Title A low complex turbo decoding algorithm with early iteration termination
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