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Please use this identifier to cite or link to this item: http://hdl.handle.net/10649/636

Title: Performance Improvement of Multi-Stage Threshold Decoding with Difference Register
Authors: Ullah, Muhammad AHSAN
Ogiwara, Haruo
Keywords: threshold decoding
lower bound of ML decoding
convolutional code
self-orthogonal code
Issue Date: Jun-2011
Publisher: The Institute of Electronics, Information and Communication Engineers
Journal Title: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Volume: E94.A
Issue: 6
Start page: 1449
End page: 1457
DOI: 10.1587/transfun.E94.A.1449
Abstract: This paper presents an improved version of multi-stage threshold decoding with a difference register (MTD-DR) for self-orthogonal convolutional codes (SOCCs). An approximate lower bound on the bit error rate (BER) with the maximum likelihood (ML) decoding is also given. MTD-DR is shown to achieve an approximate lower bound of ML decoding performance at the higher Eb/N0. The code with larger minimum Hamming distance reduces the BER in error floor, but the BER in waterfall shifts to the higher Eb/N0. This paper gives a decoding scheme that improves the BER in both directions, waterfall and error floor. In the waterfall region, a 2-step decoding (2SD) improves the coding gain of 0.40dB for shorter codes (code length 4200) and of 0.55dB for longer codes (code length 80000) compared to the conventional MTD-DR. The 2-step decoding that serially concatenates the parity check (PC) decoding improves the BER in the error floor region. This paper gives an effective use of PC decoding, that further makes the BER 1/8 times compared to the ordinary use of PC decoding in the error floor region. Therefore, the 2SD with effective use of parity check decoding improves the BER in the waterfall and the error floor regions simultaneously.
Description: This article is approved by all authors.
language: en
Contents Version: publisher
URI: http://hdl.handle.net/10649/636
ISSN: 1745-1337
Rights: copyrightⓒ2010 IEICE
rights(URI): http://www.ieice.org/jpn/trans_online/
Appears in Collections:IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

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