吉首大学学报（自然科学版）2024，Vol.45Issue(2)：35-39,44,6.DOI:10.13438/j.cnki.jdzk.2024.02.005
基于极限特征值之差的改进频谱感知算法
Improved Spectrum Sensing Algorithm Based on the Difference of Limit Eigenvalues
摘要
Abstract
Based on the difference between the maximum and minimum eigenvalues(DMME)of the sam-ple covariance matrix,to improve the setting accuracy of sensing decision threshold,a new method is pro-posed to calculate the threshold by using the latest results of limiting eigenvalue distribution of Wishart matrix.Compared with the traditional DMME algorithm,the decision threshold setting of the proposed algorithm is more accurate.While improving the reliability of decision results,it improves the detection performance of the algorithm with limited number of samples.Both the theoretical analysis and simula-tion results verify the effectiveness of the proposed DMME algorithm.关键词
认知无线电/频谱感知/Wishart矩阵/极限特征值/Tracy-Widom分布Key words
cognitive radio/spectrum sensing/Wishart matrix/limiting eigenvalues/Tracy-Widom distri-bution分类
信息技术与安全科学引用本文复制引用
田堃,谭哲文,谭宇豪,雷可君,杨喜..基于极限特征值之差的改进频谱感知算法[J].吉首大学学报（自然科学版）,2024,45(2):35-39,44,6.基金项目
国家自然科学基金资助项目(61861019,62161012) （61861019,62161012）
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(S202010531009,202110531029) （S202010531009,202110531029）
吉首大学研究生科研项目(JDY20025) （JDY20025）
