脉冲噪声下基于平滑循环相关熵谱的调制识别方法

doi:10.11959/j.issn.1000-436x.2021231

Abstract

Abstract:

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.

Key words: modulation recognition, impulsive noise, polished cyclic correntropy spectrum, shallow residual network

CLC Number:

TN911.7

Jiang’an DAI, Shengyang LUAN, Minglong ZHAO, Zhaojun ZHANG, Tianshuang QIU. Pol-CCES based modulation recognition method under impulsive noise[J]. Journal on Communications, 2021, 42(12): 121-133.

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References 21

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网络深度	FLOPs
本文网络	0.14×10 ⁹
18层	1.8×10 ⁹
34层	3.6×10 ⁹
50层	3.8×10 ⁹
101层	7.6×10 ⁹
152层	11.3×10 ⁹

参数	实验1	实验2
GSNR/dB	[-5， 15]	5
α值	1.3	[1.0， 2.0]
星座图	—	—
FLOCS	p= 1.2	p= 1.2
Log-CCES	σ= 0.3	σ= 0.3
Pol-CCES	σ= 0.3	σ= 0.3

Pol-CCES based modulation recognition method under impulsive noise

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