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Adaptive Iterative Turbo Decoding Algorithm

Authors: Jian Gu; Yi Zhang; Dacheng Yang; Zhen Liu;

Adaptive Iterative Turbo Decoding Algorithm

Abstract

Turbo decoding has large iteration delay. Based on tail bits of turbo codes, a low-complexity adaptive iterative decoder is proposed for turbo codes in this paper. In the proposed algorithm, tail bits work as CRC bits to detect whether the decoding succeeds or not. From simulation results, the new algorithm reduces average iteration times, compared with turbo decoding with fixed iterations. At the same time, it achieves better performances of BER, FER and average iteration times for short frame size and similar performance for medium frame size without additional overhead bits or computation complexity, compared with CRC based adaptive iterative turbo decoder.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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