Error Propagation Mitigation in Sliding Window Decoding of Spatially Coupled LDPC Codes

被引:0
|
作者
Zhu, Min [1 ]
Mitchell, David G. M. [2 ]
Lentmaier, Michael [3 ]
Costello, Daniel J. [4 ]
机构
[1] Xidian University, State Key Laboratory of Isn, Xi'an,710071, China
[2] New Mexico State University, Klipsch School of Electrical and Computer Engineering, Las Cruces,NM,88003, United States
[3] Lund University, Department of Electrical and Information Technology, Lund,221 00, Sweden
[4] University of Notre Dame, Department of Electrical Engineering, Notre Dame,IN,46556, United States
关键词
Encoding (symbols) - Forward error correction - Markov processes - Signal encoding - Signal to noise ratio;
D O I
10.1109/JSAIT.2023.3312656
中图分类号
学科分类号
摘要
In this paper, we investigate the problem of decoder error propagation for spatially coupled low-density parity-check (SC-LDPC) codes with sliding window decoding (SWD). This problem typically manifests itself at signal-to-noise ratios (SNRs) close to capacity under low-latency operating conditions. In this case, infrequent but severe decoder error propagation can sometimes occur. To help understand the error propagation problem in SWD of SC-LDPC codes, a multi-state Markov model is developed to describe decoder behavior and to analyze the error performance of SC-LDPC codes under these conditions. We then present two approaches - check node (CN) doping and variable node (VN) doping - to combating decoder error propagation and improving decoder performance. Next we describe how the performance can be further improved by employing an adaptive approach that depends on the availability of a noiseless binary feedback channel. To illustrate the effectiveness of the doping techniques, we analyze the error performance of CN doping and VN doping using the multi-state decoder model. We then present computer simulation results showing that CN and VN doping significantly improve the performance in the operating range of interest at a cost of a small rate loss and that adaptive doping further improves the performance. We also show that the rate loss is always less than that resulting from encoder termination and can be further reduced by doping only a fraction of the VNs at each doping position in the code graph with only a minor impact on performance. Finally, we show how the encoding problem for VN doping can be greatly simplified by doping only systematic bits, with little or no performance loss. © 2020 IEEE.
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页码:470 / 486
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