Title:
MAXIMUM LIKELIHOOD DECODING ALGORITHM FOR TAIL-BITING CONVOLUTIONAL CODE
Document Type and Number:
WIPO Patent Application WO/2018/171110
Kind Code:
A1
Abstract:
A maximum likelihood decoding algorithm for a tail-biting convolutional code, said algorithm comprising the following steps: (A) executing a Viterbi algorithm (VA) on a backward surrounding grid; obtaining information retained from a previous backward Viterbi algorithm (VA); (B) applying a priority search algorithm to a forward direction of all sub-grids. The advantageous effects are: an effective early stop standard is used, in order to reduce decoding complexity; a simulation of a (2,1,6) tail-biting convolutional code in an additive white Gaussian noise channel exhibits significant savings exceeding BEAST and CMLDA in terms of decoding complexity maximum value and variance.
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Inventors:
HAN YUNGHSIANG (CN)
WU TINGYI (CN)
CHEN PONING (CN)
VARSHNEY PRAMOD (CN)
WU TINGYI (CN)
CHEN PONING (CN)
VARSHNEY PRAMOD (CN)
Application Number:
PCT/CN2017/097667
Publication Date:
September 27, 2018
Filing Date:
August 16, 2017
Export Citation:
Assignee:
UNIV DONGGUAN TECHNOLOGY (CN)
International Classes:
H03M13/23
Foreign References:
| CN103444086A | 2013-12-11 | |||
| CN106301391A | 2017-01-04 | |||
| CN103634015A | 2014-03-12 | |||
| CN1855732A | 2006-11-01 | |||
| US20150358100A1 | 2015-12-10 |
Attorney, Agent or Firm:
SZ KINDWALF INTELLECTUAL PROPERTY FIRM (CN)
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