Iterative Decoding of K/N Convolutional Codes based on Recurrent Neural Network with Stopping Criterion

Kao, JWH; Berber, SM

Iterative Decoding of K/N Convolutional Codes based on Recurrent Neural Network with Stopping Criterion

Kao, JWH Berber, SM

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Publication Type:: Conference
Issue Date:: 2007-03-12T22:05:29Z

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Field	Value	Language
dc.contributor.author	Kao, JWH	en_AU
dc.contributor.author	Berber, SM	en_AU
dc.date.accessioned	2007-03-12T22:05:29Z
dc.date.accessioned	2012-12-15T02:29:40Z
dc.date.available	2007-03-12T22:05:29Z
dc.date.available	2012-12-15T02:29:40Z
dc.date.issued	2007-03-12T22:05:29Z
dc.identifier.uri	http://hdl.handle.net/10453/19630
dc.description.abstract	This paper outlines a novel iterative decoding technique for a rate K/N convolutional code based on recurrent neural network (RNN) with stopping criterion. The algorithm is introduced by describing the theoretical models of the encoder and decoder. In particular this paper focuses on the investigation of a stopping criterion on the iterating procedure in order to minimize the decoding time yet still obtain an optimal BER performance. The simulation results of a rate 1/2 and 2/3 encoders respectively in comparison with the conventional Viterbi decoder are also presented	en_AU
dc.format.extent	130910 bytes
dc.format.mimetype	application/pdf
dc.language.iso	en_AU
dc.relation.replaces	http://hdl.handle.net/2100/70
dc.title	Iterative Decoding of K/N Convolutional Codes based on Recurrent Neural Network with Stopping Criterion	en_AU
dc.type	Conference
utslib.copyright.status	open_access

Abstract:

This paper outlines a novel iterative decoding technique for a rate K/N convolutional code based on recurrent neural network (RNN) with stopping criterion. The algorithm is introduced by describing the theoretical models of the encoder and decoder. In particular this paper focuses on the investigation of a stopping criterion on the iterating procedure in order to minimize the decoding time yet still obtain an optimal BER performance. The simulation results of a rate 1/2 and 2/3 encoders respectively in comparison with the conventional Viterbi decoder are also presented

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http://hdl.handle.net/10453/19630