吉首大学学报（自然科学版）2023，Vol.44Issue(6)：14-19,6.DOI:10.13438/j.cnki.jdzk.2023.06.003
一种基于偏度和峰度联合检测的频谱感知算法
Spectrum Sensing Algorithm Based on Joint Detection of Skewness and Kurtosis
摘要
Abstract
By normalizing the sample skewness and kurtosis of the received signal,a spectrum sensing al-gorithm based on joint detection of skewness and kurtosis(joint detection)is proposed.Utilizing the probability density function of the chi-square distribution,the theoretical false alarm performance of the algorithm is analyzed under non-asymptotic conditions,and the corresponding theoretical decision thresh-old is derived.In the simulation experiments,joint detection can still guarantee reliable detection results with small number of samples,and shows better detection performance than the classical Jarque-Bera(JB)spectrum sensing algorithm.关键词
认知无线电/频谱感知/样本偏度/样本峰度/联合检测Key words
cognitive radio/spectrum sensing/sample skewness/sample kurtosis/joint detection分类
电子信息工程引用本文复制引用
谭哲雯,雷可君,杨喜,汪旭明,谭宇豪..一种基于偏度和峰度联合检测的频谱感知算法[J].吉首大学学报（自然科学版）,2023,44(6):14-19,6.基金项目
国家自然科学基金资助项目(62161012,61861019) （62161012,61861019）
湖南省教育厅科学研究项目(21A0335) （21A0335）
国家级大学生创新创业训练项目(202110531029) （202110531029）
吉首大学校级科研课题(JDY21071) （JDY21071）
