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
巩克现 1房家乐 1刘宏华 2孙鹏 1王玮1
作者信息
- 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
- 折叠
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 descrip-tion,a soft threshold wideband spectrum sensing algorithm based on enhanced gradient operators was proposed.By intro-ducing 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 ob-tained.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
频谱感知/增强梯度算子/软阈值/尺度融合Key words
spectrum sensing/enhanced gradient operator/soft threshold/scale fusion引用本文复制引用
基金项目
国家自然科学基金(61901417)
国家重点研发计划(2019QY0302)
河南省科技攻关计划(242102211107)
出版年
2024