摘要
针对在低信噪比环境,underlay频谱共享方式下时频重叠信号的信号分量个数估计性能低的问题,提出了一种时频重叠信号的信号分量个数的估计新方法.该方法首先利用动态延时构造出虚拟阵列信号,然后利用噪声奇异值变化不大的特点构造特征量和估计准则,从而估计出underlay频谱共享方式下时频重叠信号的信号分量个数.仿真结果表明,所提方法在低信噪比和高频谱重叠率条件下,比现有方法的估计性能更好.
This paper proposes a novel method to estimate the number of signal components of time-frequency overlapped signals in low signal to noise ratio environment of the underlay spectrum sharing mode.First,the virtual array signal is constructed by dynamic delay,and then the feature quantity and estimation criterion are constructed by using the characteristic that the noise singular value is not changed very much,and the number of signal components of time-frequency overlapped signals in the underlay spectrum sharing mode is estimated.Simulation results show that the performance of the proposed method is better than that of the existing methods under the conditions of low SNR and high spectrum overlapped rates.
出处
《西安电子科技大学学报》
EI
CAS
CSCD
北大核心
2017年第6期43-47,64,共6页
Journal of Xidian University
基金
国家自然科学基金资助项目(61501348
61271299)
国家博士后科学基金资助项目(2017M611912)
陕西省自然科学基础研究计划资助项目(2016JQ6039)
江苏省博士后科研资助项目(1701059B)
高等学校学科创新引智计划资助项目(B08038)
关键词
认知无线电
参数估计
时频重叠
频谱共享
个数估计
cognitive radio
parameter estimation
time-frequency overlapped
spectrum sharing
number estimation
