Please use this identifier to cite or link to this item: http://103.99.128.19:8080/xmlui/handle/123456789/375
Title: Turbo Like Multi-Stage Threshold Decoding for Self-Orthogonal Convolutional Codes
Other Titles: 7th International Conference on Electrical and Computer Engineering
ICECE 2012
Authors: Ullah, Muhammad Ahsan
Ogiwara, Haruo
Keywords: rthogonal convolutional code
threshold de-coding
turbo code
LDPC coderthogonal convolutional code
threshold decoding
turbo code
LDPC codeo
Issue Date: 20-Dec-2012
Publisher: Department of Electrical and Electronics Engineering, Bangladesh University of Engineering & Technology
Series/Report no.: ICECE;
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
URI: http://103.99.128.19:8080/xmlui/handle/123456789/375
ISBN: 9781467314367
Appears in Collections:proceedings in EEE

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