LTE230MHz电力无线专网的频谱空洞感知技术  

Spectrum hole sensing technology for 230MHz power wireless private network

作　　者：杨眉 YANG Mei(China Southern Power Grid Hainan Digital Grid Research Institute Co.,Ltd.,Haikou 570203,China)

机构地区：[1]南方电网海南数字电网研究院有限公司,海口570203

出　　处：《北京信息科技大学学报（自然科学版）》2020年第2期73-78,共6页Journal of Beijing Information Science and Technology University

基　　金：南方电网科技项目(072900KK52180008)。

摘　　要：认知无线电能够显著提高频谱效率,满足电力无线专网日益增长的频谱资源需求。针对230 MHz电力无线专网频谱空洞检测问题,在完成活跃用户存在性检测的前提下,提出了一种基于协方差矩阵的多尺度小波变换频谱空洞感知方法。首先构建接收信号协方差矩阵,通过最小化其非对角线元素的能量,估计并消除载波频偏;然后对其对角线元素序列进行多尺度小波变换,通过提取多级小波分解系数累积函数的奇异点,得到各活跃用户频谱边界点,从而完成频谱空洞检测。仿真结果表明,较传统的能量检测方法,该方法在低信噪比下具有更好的检测性能。Cognitive radio can significantly improve spectral efficiency and meet the growing spectrum resource requirements of power wireless private networks.Aiming at the problem of the spectrum hole detection in 230 MHz power wireless private network,a multi-scale wavelet transform spectrum hole sensing method based on the covariance matrix is proposed on the premise of completing the presence detection of active users.Firstly,the received signal covariance matrix is constructed,and then the carrier frequency offset is estimated and eliminated by minimizing the energy of its non-diagonal elements;secondly the multi-scale wavelet transform is applied to its diagonal element sequence,and then the singular points of the multi-level wavelet decomposition coefficient accumulation function are extracted to obtain the spectrum boundary points of each active user,thus completing the spectrum hole detection.The simulation results show that the proposed method has better detection performance than that of the traditional energy detection method in low signal-to-noise-ratio environment.

关 键 词：电力无线专网 频谱空洞 协方差矩阵 载波频偏 多尺度小波变换 

分 类 号：TN911[电子电信—通信与信息系统]