A novel hard decision decoding scheme based on genetic algorithm and neural network

A novel hard decision decoding scheme based on a hybrid intelligent algorithm combining genetic algorithm and neural network, named as genetic neural-network decoding (GND), is proposed. GND offsets the reliability loss caused by channel transmission error and hard decision quantization by making fu...

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Veröffentlicht in:Optik (Stuttgart) Jg. 125; H. 14; S. 3457 - 3461
Hauptverfasser: Yuan, Jianguo, He, Changwei, Gao, Wenchun, Lin, Jinzhao, Pang, Yu
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier GmbH 01.07.2014
Schlagworte:
Algorithms
Channels
Complexity
Computer simulation
Decoding
Error correction performance
Genetic algorithm
Genetic algorithms
Genetics
Hard decision decoding
Neural network
Neural networks
Soft decision decoding
Hard decision decoding
Neural network
Error correction performance
Genetic algorithm
Complexity
ISSN:0030-4026, 1618-1336
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Zusammenfassung:A novel hard decision decoding scheme based on a hybrid intelligent algorithm combining genetic algorithm and neural network, named as genetic neural-network decoding (GND), is proposed. GND offsets the reliability loss caused by channel transmission error and hard decision quantization by making full use of the genetic algorithm's optimization capacity and neural network's pattern classification function to optimize the hard decision outputs of received matched filter and restore a more likelihood codeword as the input of hard decision decoder. As can be seen from the theoretical analysis and computer simulation, GND scheme is close to the traditional soft decision decoding in error correction performance, while its complexity, compared with the traditional soft decision decoding, is greatly reduced because its decoding process does not need to use the channel statistical information.
Bibliographie:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0030-4026
1618-1336
DOI:10.1016/j.ijleo.2014.01.035