期刊文献+
共找到2篇文章
< 1 >
每页显示 20 50 100
基于可信度的加权协作频谱检测算法 被引量:4
1
作者 王海莲 张士兵 郭莉莉 《数据采集与处理》 CSCD 北大核心 2014年第3期472-477,共6页
协作频谱检测技术可以有效解决认知无线网络本地检测存在的信道衰落、隐藏终端等问题.本文研究了加权协作频谱检测技术,提出一种基于可信度的协作频谱检测算法.每个感知节点基于最大最小值特征值检测完成本地频谱检测,并与融合中心的全... 协作频谱检测技术可以有效解决认知无线网络本地检测存在的信道衰落、隐藏终端等问题.本文研究了加权协作频谱检测技术,提出一种基于可信度的协作频谱检测算法.每个感知节点基于最大最小值特征值检测完成本地频谱检测,并与融合中心的全局检测结果进行比较,估计各自感知节点的频谱检测可信度;融合中心利用切尾平均法计算参与频谱协作检测的可信度门限,并选择可信度大于门限的感知节点参与协作频谱检测.该算法有效降低了认知网络协作检测的复杂性,提高了频谱检测性能,在噪声波动环境下具有良好的鲁棒性.仿真结果表明,算法频谱检测性能要优于其他加权算法1~3 dB,节省系统开销43.75%左右. 展开更多
关键词 认知无线电 协作频谱感知 最大最小特征值检测 可信度
下载PDF
Efficient Centralized Cooperative Spectrum Sensing Techniques for Cognitive Networks
2
作者 P.Gnanasivam G.T.Bharathy +1 位作者 V.Rajendran T.Tamilselvi 《Computer Systems Science & Engineering》 SCIE EI 2023年第1期55-65,共11页
Wireless Communication is a system for communicating information from one point to other,without utilizing any connections like wire,cable,or other physical medium.Cognitive Radio(CR)based systems and networks are a r... Wireless Communication is a system for communicating information from one point to other,without utilizing any connections like wire,cable,or other physical medium.Cognitive Radio(CR)based systems and networks are a revolutionary new perception in wireless communications.Spectrum sensing is a vital task of CR to avert destructive intrusion with licensed primary or main users and discover the accessible spectrum for the efficient utilization of the spectrum.Centralized Cooperative Spectrum Sensing(CSS)is a kind of spectrum sensing.Most of the test metrics designed till now for sensing the spectrum is produced by using the Sample Covariance Matrix(SCM)of the received signal.Some of the methods that use the SCM for the process of detection are Pietra-Ricci Index Detector(PRIDe),Hadamard Ratio(HR)detector,Gini Index Detector(GID),etc.This paper presents the simulation and comparative perfor-mance analysis of PRIDe with various other detectors like GID,HR,Arithmetic to Geometric Mean(AGM),Volume-based Detector number 1(VD1),Maximum-to-Minimum Eigenvalue Detection(MMED),and Generalized Likelihood Ratio Test(GLRT)using the MATLAB software.The PRIDe provides better performance in the presence of variations in the power of the signal and the noise power with less computational complexity. 展开更多
关键词 Cohnitive radio network collaborative spectrum sensing sample covariance matrix pietra-ricci index detector cooperative spectrum sensing generalized likelihood ratio test maximum-to-minimum eigenvalue detection volume-based detector number
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部