Turbo Like Multi-Stage Threshold Decoding for Self-Orthogonal Convolutional Codes
Date
20-Dec-2012
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Department of Electrical and Electronics Engineering, Bangladesh University of Engineering & Technology
Abstract
This paper presents a new dimension of soft de coding turbo-like multi-stage threshold decoding (TLMTD) for
self-orthogonal convolutional codes (SOCCs). The TLMTD uses
comparatively shorter constraint length conventional code of
multi-stage threshold decoding (MTD) system. The bit error
performance is considered for several types of soft decoding al gorithms on the additive white Gaussian noise (AWGN) channel.
When threshold value used as a priori threshold value for other
decoding stage, TLMTD realizes better performance in waterfall
and error floor regions. Moreover, the TLMTD gives 0.20 dB
more coding gain compared to MTD for equivalent SOCCs at
the bit error rate less than
self-orthogonal convolutional codes (SOCCs). The TLMTD uses
comparatively shorter constraint length conventional code of
multi-stage threshold decoding (MTD) system. The bit error
performance is considered for several types of soft decoding al gorithms on the additive white Gaussian noise (AWGN) channel.
When threshold value used as a priori threshold value for other
decoding stage, TLMTD realizes better performance in waterfall
and error floor regions. Moreover, the TLMTD gives 0.20 dB
more coding gain compared to MTD for equivalent SOCCs at
the bit error rate less than
Description
Keywords
rthogonal convolutional code, threshold de-coding, turbo code, LDPC coderthogonal convolutional code, threshold decoding, turbo code, LDPC codeo