Optimizing low complexity encoding method for systematic polar code

In order to solve the delay caused by step-by-step calculation and the computational complexity caused by iterative “exclusive-or” computation during the encoding process,a dimensionality reduction strategy was proposed and defined.Based on this,system polarization code parallel coding algorithm for...

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Main Authors: Linhua MA, Shiping LIU, Xing HU, Tianyu HUANG, Bin XU
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2018-07-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018127/
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author Linhua MA
Shiping LIU
Xing HU
Tianyu HUANG
Bin XU
author_facet Linhua MA
Shiping LIU
Xing HU
Tianyu HUANG
Bin XU
author_sort Linhua MA
collection DOAJ
description In order to solve the delay caused by step-by-step calculation and the computational complexity caused by iterative “exclusive-or” computation during the encoding process,a dimensionality reduction strategy was proposed and defined.Based on this,system polarization code parallel coding algorithm for cracking strategy was proposed.Simulation and computational complexity analysis were carried out on AWGN channel.The results show that the coding gain of the above algorithm is slightly better than the traditional one or almost the same,but the computational complexity is up to 80.92%,which is more suitable for hardware implementation and engineering application.It is more suitable for hardware implementation and has a certain practical value.
format Article
id doaj-art-9b95ba1d3f5b4d63bac34aaa65d33f34
institution Kabale University
issn 1000-436X
language zho
publishDate 2018-07-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-9b95ba1d3f5b4d63bac34aaa65d33f342025-01-14T07:15:08ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2018-07-013913213859719549Optimizing low complexity encoding method for systematic polar codeLinhua MAShiping LIUXing HUTianyu HUANGBin XUIn order to solve the delay caused by step-by-step calculation and the computational complexity caused by iterative “exclusive-or” computation during the encoding process,a dimensionality reduction strategy was proposed and defined.Based on this,system polarization code parallel coding algorithm for cracking strategy was proposed.Simulation and computational complexity analysis were carried out on AWGN channel.The results show that the coding gain of the above algorithm is slightly better than the traditional one or almost the same,but the computational complexity is up to 80.92%,which is more suitable for hardware implementation and engineering application.It is more suitable for hardware implementation and has a certain practical value.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018127/polar codesystematic polar codeparallel encodingcomplexitysplitting decompositionbit error rate
spellingShingle Linhua MA
Shiping LIU
Xing HU
Tianyu HUANG
Bin XU
Optimizing low complexity encoding method for systematic polar code
Tongxin xuebao
polar code
systematic polar code
parallel encoding
complexity
splitting decomposition
bit error rate
title Optimizing low complexity encoding method for systematic polar code
title_full Optimizing low complexity encoding method for systematic polar code
title_fullStr Optimizing low complexity encoding method for systematic polar code
title_full_unstemmed Optimizing low complexity encoding method for systematic polar code
title_short Optimizing low complexity encoding method for systematic polar code
title_sort optimizing low complexity encoding method for systematic polar code
topic polar code
systematic polar code
parallel encoding
complexity
splitting decomposition
bit error rate
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018127/
work_keys_str_mv AT linhuama optimizinglowcomplexityencodingmethodforsystematicpolarcode
AT shipingliu optimizinglowcomplexityencodingmethodforsystematicpolarcode
AT xinghu optimizinglowcomplexityencodingmethodforsystematicpolarcode
AT tianyuhuang optimizinglowcomplexityencodingmethodforsystematicpolarcode
AT binxu optimizinglowcomplexityencodingmethodforsystematicpolarcode