Joint detection/decoding algorithms for non-binary low-density parity-check codes over inter-symbol interference channels

This study is concerned with the application of non-binary low-density parity-check (NB-LDPC) codes to binary input inter-symbol interference channels. Two low-complexity joint detection/decoding algorithms are proposed. One is referred to as max-log-MAP/X-EMS algorithm, which is implemented by exch...

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Bibliographic Details
Published in:	IET communications Vol. 7; no. 14; pp. 1522 - 1531
Main Authors:	Zhao, Shancheng, Lu, Zhifei, Ma, Xiao, Bai, Baoming
Format:	Journal Article
Language:	English
Published:	Stevenage The Institution of Engineering and Technology 01.09.2013 John Wiley & Sons, Inc
Subjects:	adaptive threshold Algorithms BCJR algorithm binary input intersymbol interference channel Byproducts Channels Decoding EMS EMS decoder extended min‐sum decoder generalised majority‐logic decoder Interference intersymbol interference intersymbol interference channel iterative decoding iterative decoding algorithm iterative detection algorithm joint detection‐decoding algorithm majority‐logic decoding max‐log‐MAP detector max‐log‐MAP/X‐EMS algorithm Messages NB‐LDPC code Niobium nonbinary low‐density parity‐check code parity check codes performance degradation Q‐ary sumâ€“product algorithm soft message Viterbi decoding Viterbi detector Viterbi/GMLGD algorithm Î¼‐EMS algorithm max-log-MAP/X-EMS algorithm intersymbol interference parity check codes Viterbi/GMLGD algorithm EMS decoder adaptive threshold joint detection-decoding algorithm Viterbi detector iterative detection algorithm Î¼-EMS algorithm generalised majority-logic decoder soft message iterative decoding algorithm binary input intersymbol interference channel nonbinary low-density parity-check code BCJR algorithm performance degradation NB-LDPC code iterative decoding intersymbol interference channel extended min-sum decoder Q-ary sumâ€“product algorithm majority-logic decoding Viterbi decoding max-log-MAP detector
ISSN:	1751-8628, 1751-8636
Online Access:	Get full text
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