Pol-CCES based modulation recognition method under impulsive noise

To realize signal classification in impulsive noise environment, a modulation recognition scheme based on polished cyclic correntropy spectrum and shallow residual network was proposed.The proposed scheme not only has low computational complexity but also shows robustness to impulsive noise.Simulati...

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Main Authors: Jiang’an DAI, Shengyang LUAN, Minglong ZHAO, Zhaojun ZHANG, Tianshuang QIU
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2021-12-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021231/
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author Jiang’an DAI
Shengyang LUAN
Minglong ZHAO
Zhaojun ZHANG
Tianshuang QIU
author_facet Jiang’an DAI
Shengyang LUAN
Minglong ZHAO
Zhaojun ZHANG
Tianshuang QIU
author_sort Jiang’an DAI
collection DOAJ
description To realize signal classification in impulsive noise environment, a modulation recognition scheme based on polished cyclic correntropy spectrum and shallow residual network was proposed.The proposed scheme not only has low computational complexity but also shows robustness to impulsive noise.Simulation results demonstrate the proposed solution’s superior performance under impulsive noise, even when the generalized signal-to-noise ratio is very low.
format Article
id doaj-art-6e3f76cc25404182887dd50b07ce9dcd
institution Kabale University
issn 1000-436X
language zho
publishDate 2021-12-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-6e3f76cc25404182887dd50b07ce9dcd2025-01-14T07:23:20ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2021-12-014212113359746767Pol-CCES based modulation recognition method under impulsive noiseJiang’an DAIShengyang LUANMinglong ZHAOZhaojun ZHANGTianshuang QIUTo realize signal classification in impulsive noise environment, a modulation recognition scheme based on polished cyclic correntropy spectrum and shallow residual network was proposed.The proposed scheme not only has low computational complexity but also shows robustness to impulsive noise.Simulation results demonstrate the proposed solution’s superior performance under impulsive noise, even when the generalized signal-to-noise ratio is very low.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021231/modulation recognitionimpulsive noisepolished cyclic correntropy spectrumshallow residual network
spellingShingle Jiang’an DAI
Shengyang LUAN
Minglong ZHAO
Zhaojun ZHANG
Tianshuang QIU
Pol-CCES based modulation recognition method under impulsive noise
Tongxin xuebao
modulation recognition
impulsive noise
polished cyclic correntropy spectrum
shallow residual network
title Pol-CCES based modulation recognition method under impulsive noise
title_full Pol-CCES based modulation recognition method under impulsive noise
title_fullStr Pol-CCES based modulation recognition method under impulsive noise
title_full_unstemmed Pol-CCES based modulation recognition method under impulsive noise
title_short Pol-CCES based modulation recognition method under impulsive noise
title_sort pol cces based modulation recognition method under impulsive noise
topic modulation recognition
impulsive noise
polished cyclic correntropy spectrum
shallow residual network
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021231/
work_keys_str_mv AT jiangandai polccesbasedmodulationrecognitionmethodunderimpulsivenoise
AT shengyangluan polccesbasedmodulationrecognitionmethodunderimpulsivenoise
AT minglongzhao polccesbasedmodulationrecognitionmethodunderimpulsivenoise
AT zhaojunzhang polccesbasedmodulationrecognitionmethodunderimpulsivenoise
AT tianshuangqiu polccesbasedmodulationrecognitionmethodunderimpulsivenoise