脉冲噪声下基于平滑循环相关熵谱的调制识别方法

戴江安; 栾声扬; 赵明龙; 张兆军; 邱天爽

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

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脉冲噪声下基于平滑循环相关熵谱的调制识别方法

学术论文 | 更新时间：2024-06-05

- 脉冲噪声下基于平滑循环相关熵谱的调制识别方法
- Pol-CCES based modulation recognition method under impulsive noise
- 通信学报 2021年42卷第12期页码：121-133
- 作者机构：
  
  1. 大连理工大学电子信息与电气工程学部，辽宁大连 116024
  2. 江苏师范大学电气工程及自动化学院，江苏徐州 221116
- 作者简介：
  
  [ "戴江安（1991- ），男，江西抚州人，大连理工大学博士生，主要研究方向为波达方向估计、调制识别等" ]
  [ "栾声扬（1983- ），男，辽宁大连人，博士，江苏师范大学讲师，主要研究方向为无线电信号处理、人工智能技术等" ]
  [ "赵明龙（1992- ），男，安徽阜阳人，江苏师范大学硕士生，主要研究方向为深度学习和信号处理" ]
  [ "张兆军（1981- ），男，山东枣庄人，博士，江苏师范大学副教授，主要研究方向为机器学习、群体智能等" ]
  [ "邱天爽（1954- ），男，江苏海门人，博士，大连理工大学教授，主要研究方向为非高斯非平稳随机信号处理" ]
- 基金信息：
  
  国家自然科学基金资助项目(61671105);国家自然科学基金资助项目(61801197)
- DOI：10.11959/j.issn.1000-436x.2021231
  中图分类号： TN911.7
- 网络出版日期：2021-12，
  
  纸质出版日期：2021-12-25
- 稿件说明：
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戴江安, 栾声扬, 赵明龙, 等. 脉冲噪声下基于平滑循环相关熵谱的调制识别方法[J]. 通信学报, 2021,42(12):121-133.

Jiang’an DAI, Shengyang LUAN, Minglong ZHAO, et al. Pol-CCES based modulation recognition method under impulsive noise[J]. Journal on communications, 2021, 42(12): 121-133.
戴江安, 栾声扬, 赵明龙, 等. 脉冲噪声下基于平滑循环相关熵谱的调制识别方法[J]. 通信学报, 2021,42(12):121-133. DOI： 10.11959/j.issn.1000-436x.2021231.

Jiang’an DAI, Shengyang LUAN, Minglong ZHAO, et al. Pol-CCES based modulation recognition method under impulsive noise[J]. Journal on communications, 2021, 42(12): 121-133. DOI： 10.11959/j.issn.1000-436x.2021231.

摘要

针对脉冲噪声下的信号分类问题，提出了基于平滑循环相关熵谱和浅层残差网络的调制识别方案。所提方案不仅具有较低的计算复杂度，而且在脉冲噪声环境中具有稳健性。仿真实验表明，即使在很低的广义信噪比下，所提方案依然具有良好的性能。

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.

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references

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