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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Vydané v:IET communications Ročník 7; číslo 14; s. 1522 - 1531
Hlavní autori: Zhao, Shancheng, Lu, Zhifei, Ma, Xiao, Bai, Baoming
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Stevenage The Institution of Engineering and Technology 01.09.2013
John Wiley & Sons, Inc
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ISSN:1751-8628, 1751-8636
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Shrnutí: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 exchanging soft messages between the max-log-MAP detector and the extended min-sum (EMS) decoder. The max-log-MAP/X-EMS algorithm is applicable to general NB-LDPC codes. The other one, referred to as Viterbi/GMLGD algorithm, is designed in particular for majority-logic decodable NB-LDPC codes. The Viterbi/GMLGD algorithm works in an iterative manner by exchanging hard-decisions between the Viterbi detector and the generalised majority-logic decoder (GMLGD). As a by-product, a variant of the original EMS algorithm is proposed, which is referred to as µ-EMS algorithm. In the µ-EMS algorithm, the messages are truncated according to an adaptive threshold, resulting in a more efficient algorithm. Simulations results show that the max-log-MAP/X-EMS algorithm performs as well as the traditional iterative detection/decoding algorithm based on the BCJR algorithm and theQ-ary sum–product algorithm, but with lower complexity. The complexity can be further reduced for majority-logic decodable NB-LDPC codes by executing the Viterbi/GMLGD algorithm with a performance degradation within one dB. These algorithms provide good candidates for trade-offs between performance and complexity.
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ISSN:1751-8628
1751-8636
DOI:10.1049/iet-com.2012.0616