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Improved SOVA and APP decoding algorithms for concatenated codes

Title:

Improved SOVA and APP decoding algorithms for concatenated codes

Huang, Chuanxiu (2004) Improved SOVA and APP decoding algorithms for concatenated codes. Masters thesis, Concordia University.

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Abstract

In this thesis, we propose a novel and simple approach for dealing with the exaggerated extrinsic information produced by the soft-output Viterbi algorithm (SOVA). We identify the reason behind producing these exaggerated values and propose a simple remedy for it. We argue that what leads to these optimistic extrinsic information is the inherent strong correlation between the intrinsic information (input to the SOVA) and extrinsic information (output of the SOVA). The proposed remedy is based on mathematical analysis and it involves using two attenuators, one applied to the immediate output of the SOVA and another applied to the extrinsic information before it is passed to the other decoder (assuming iterative decoding). We examine the modified SOVA (MSOVA) on various channel models including additive white Gaussian noise (AWGN) channels, flat fading channels, and storage channels for both parallel concatenated codes (PCCs) and serial concatenated codes (SCCs)

Divisions:Concordia University > Faculty of Engineering and Computer Science > Electrical and Computer Engineering
Item Type:Thesis (Masters)
Authors:Huang, Chuanxiu
Pagination:xiii, 78 leaves : ill. ; 29 cm.
Institution:Concordia University
Degree Name:M.A. Sc.
Program:Electrical and Computer Engineering
Date:2004
Thesis Supervisor(s):Ghrayeb, Ali
ID Code:8388
Deposited By:Concordia University Libraries
Deposited On:18 Aug 2011 14:24
Last Modified:18 Aug 2011 15:32
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