基于增强梯度算子的软阈值宽带频谱感知算法

巩克现; 房家乐; 刘宏华; 孙鹏; 王玮

doi:10.11959/j.issn.1000-436x.2024096

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基于增强梯度算子的软阈值宽带频谱感知算法

学术论文 | 更新时间：2024-06-24

- 基于增强梯度算子的软阈值宽带频谱感知算法
- Soft threshold wideband spectrum sensing algorithm based on enhanced gradient operator
- 通信学报 2024年45卷第5期页码：115-127
- 作者机构：
  
  1.郑州大学电气与信息工程学院，河南郑州 450001
  2.中国电子科技集团公司第二十七研究所，河南郑州 450047
- 作者简介：
  
  [ "巩克现（1976- ），男，山东泰安人，博士，郑州大学教授、博士生导师，主要研究方向为无线通信信号分析与处理、信道编码、无线接入、目标监测及电子对抗等。" ]
  [ "房家乐（1998- ），男，河南周口人，郑州大学硕士生，主要研究方向为宽带无线通信、频谱感知。" ]
  [ "刘宏华（1978- ），男，河南西平人，中国电子科技集团公司第二十七研究所高级工程师，主要研究方向为电子对抗等。" ]
  [ "孙鹏（1990- ），男，河南周口人，博士，郑州大学副教授，主要研究方向为无线通信、消息传递理论、毫米波通信。" ]
  [ "王玮（1974- ），女，黑龙江密山人，博士，郑州大学副教授，主要研究方向为无线通信、信号处理等。" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(61901417);国家重点研发计划基金资助项目;The National Key Research and Development Program of China(2019QY0302);河南省科技攻关计划基金资助项目(242102211107)
- DOI：10.11959/j.issn.1000-436x.2024096
  中图分类号： TN911
- 收稿：2023-10-12，
  
  修回：2024-04-08，
  
  纸质出版：2024-05-30
- 稿件说明：
移动端阅览
巩克现,房家乐,刘宏华等.基于增强梯度算子的软阈值宽带频谱感知算法[J].通信学报,2024,45(05):115-127.

GONG Kexian,FANG Jiale,LIU Honghua,et al.Soft threshold wideband spectrum sensing algorithm based on enhanced gradient operator[J].Journal on Communications,2024,45(05):115-127.
巩克现,房家乐,刘宏华等.基于增强梯度算子的软阈值宽带频谱感知算法[J].通信学报,2024,45(05):115-127. DOI： 10.11959/j.issn.1000-436x.2024096.

GONG Kexian,FANG Jiale,LIU Honghua,et al.Soft threshold wideband spectrum sensing algorithm based on enhanced gradient operator[J].Journal on Communications,2024,45(05):115-127. DOI： 10.11959/j.issn.1000-436x.2024096.

摘要

为了改善信号梯度特征对幅度的损失以及寻求描述信号的最佳尺度问题，提出了一种基于增强梯度算子的软阈值宽带频谱感知算法。通过引入梯度增强算子还原信号幅值特征，结合信号本身梯度特征，使用不同的尺度描述信号梯度增量，得到软阈值判据，进一步加入尺度融合单元，利用硬阈值加软阈值联合判断的方法，得到描述信号的最佳尺度。理论分析和仿真实验结果表明，在高斯信道和瑞利衰落信道下，相较于MPSG算法，所提算法的检测概率和虚警概率均有明显改善，且复杂度更低。通过对比实测数据的检测效果，所提算法更适用于实际工程中。

Abstract

In order to improve the amplitude loss of signal gradient features and seek the optimal scale of signal description

a soft threshold wideband spectrum sensing algorithm based on enhanced gradient operators was proposed. By introducing the gradient enhancement operator to restore the signal amplitude

combining the gradient characteristics of the signal itself

using different scales to describe the gradient increment of the signal

the soft threshold criterion was obtained. The scale fusion unit was further added

and the best scale of the description signal was obtained by using the joint judgment of hard threshold and soft threshold. Theoretical analysis and simulation results show that the detection probability and false alarm probability of the proposed algorithm are significantly improved and less complex than MPSG algorithm in Gaussian channel and Rayleigh fading channel. By comparing the detection effect of actual data

the proposed algorithm is more suitable for practical engineering.

关键词

Keywords

references

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