基于二次最优阈值近似消息传递法的蒸发波导去噪重构

芮国胜; 刘歌; 田文飚; 董道广; 张雅楠

doi:10.11959/j.issn.1000-436x.2019200

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基于二次最优阈值近似消息传递法的蒸发波导去噪重构

学术论文 | 更新时间：2024-06-05

- 基于二次最优阈值近似消息传递法的蒸发波导去噪重构
- Denoising and reconstruction of evaporation duct based on quadratic optimal threshold approximation message passing method
- 通信学报 2019年40卷第10期页码：10-19
- 作者机构：
  
  1. 海军航空大学信号与信息处理山东省重点实验室，山东烟台 264501
  2. 93716部队，天津 301716
- 作者简介：
  
  [ "芮国胜（1968- ），男，山东烟台人，博士，海军航空大学教授、博士生导师，主要研究方向为压缩感知、现代滤波理论。" ]
  [ "刘歌（1991- ），女，山东威海人，海军航空大学博士生，主要研究方向为压缩感知、蒸发波导反演。" ]
  [ "田文飚（1987- ），男，江西南昌人，博士，海军航空大学副教授，主要研究方向为压缩感知、蒸发波导反演。" ]
  [ "董道广（1990- ），男，山东济南人，海军航空大学博士生，主要研究方向为Bayesian 统计学习、压缩感知和蒸发波导反演。" ]
  [ "张雅楠（1990- ），女，山东烟台人，93716部队助理工程师，主要研究方向为压缩感知、数字图像处理。" ]
- 基金信息：
  
  国家自然科学基金资助项目(41606117);国家自然科学基金资助项目(41476089);国家自然科学基金资助项目(61671016)
- DOI：10.11959/j.issn.1000-436x.2019200
  中图分类号： TN911.73
- 网络出版日期：2019-10，
  
  纸质出版日期：2019-10-25
- 稿件说明：
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芮国胜, 刘歌, 田文飚, 等. 基于二次最优阈值近似消息传递法的蒸发波导去噪重构[J]. 通信学报, 2019,40(10):10-19.

Guosheng RUI, Ge LIU, Wenbiao TIAN, et al. Denoising and reconstruction of evaporation duct based on quadratic optimal threshold approximation message passing method[J]. Journal on communications, 2019, 40(10): 10-19.
芮国胜, 刘歌, 田文飚, 等. 基于二次最优阈值近似消息传递法的蒸发波导去噪重构[J]. 通信学报, 2019,40(10):10-19. DOI： 10.11959/j.issn.1000-436x.2019200.

Guosheng RUI, Ge LIU, Wenbiao TIAN, et al. Denoising and reconstruction of evaporation duct based on quadratic optimal threshold approximation message passing method[J]. Journal on communications, 2019, 40(10): 10-19. DOI： 10.11959/j.issn.1000-436x.2019200.

摘要

针对蒸发波导时空态势感知过程中，压缩感知观测阶段混入噪声对高精度重构产生不利影响的问题，提出了基于二次最优阈值的近似消息传递法。所提方法综合了软、硬阈值函数的优势，设计了一种二次稳固阈值函数，改善AMP算法的重构性能，并在近似消息传递法的迭代过程中加入了基于共轭梯度法的最优阈值设置策略，加快收敛速度。理论分析和实验表明，所提算法比现有的几种主流重构算法的收敛速度更快，去噪重建误差更小。

Abstract

To solve the problem that the mixed noise of compressed sensing observation stage had adverse effects on the high-precision reconstruction in the time-space situation awareness process of evaporative duct

an approximate message passing method based on quadratic optimal threshold was proposed.A quadratic stabilization threshold function which integrated advantages of soft and hard threshold functions was designed

and the optimal threshold setting policy was added to the iterative process based on conjugate gradient method to speed up convergence.Theoretical analysis and experiments show that

compared with several mainstream algorithms

the proposed algorithm has the faster convergence rate and lower denoising reconstruction error.

关键词

Keywords

references

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