The Performance of Multithreshold Decoders in Concatenated Schemes Over Erasure Channels

被引：0

作者：

Zolotarev, V. V. ^{[1
]}

Grinchenko, N. N. ^{[2
]}

Ovechkin, G., V ^{[2
]}

Ovechkin, P., V ^{[2
]}

机构：

[1] Russian Acad Sci, Space Res Inst, Dept 71, Moscow, Russia

[2] Ryazan State Radio Engn Univ, Fac Comp Engn, Ryazan, Russia

来源：

2019 8TH MEDITERRANEAN CONFERENCE ON EMBEDDED COMPUTING (MECO) | 2019年

关键词：

error-correction coding; multithreshold decoder; self-orthogonal code; concatenated code; parity-check code; hamming code; BCH code; erasure recovering; channel capacity; GPU implementation;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Multithreshold decoders (MTD) of self-orthogonal codes (SOC) for erasure channels implementing error correction methods based on searching global extremum of functions in discrete spaces are considered. To increase the efficiency of erasure recoveries the concatenated codes comprising inner SOC and outer codes being simple for decoding such as parity-check codes, Hamming codes or BCH codes are offered. The usage of the codes offered provides efficient erasure recovery when operating near channel capacity with linear decoder complexity. The questions of high-throughput software MTD implementation recovering erasures using GPU are considered. The MTD versions developed are shown to be able to perform data flow decoding with the rate of several hundred MB/s using GPU.

引用

页码：517 / 520

页数：4

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