摘要
随着无线应用快速发展与可用频谱资源紧缺的矛盾日益突出,认知无线电作为克服频谱匮乏和提高频谱效率的最重要解决方式之一,与物联网、5G等各种无线网络应用的结合受到了越来越多的关注。频谱感知是认知无线电的关键技术,通过识别未被主用户使用的频谱空洞并将其分配给认知用户,从而能够在不同优先级的多个用户之间共享同一频带,并且不会相互干扰。文中提出了一种基于信噪比估计的快速循环平稳特征检测算法,能够根据信噪比的变化实时的调整参与循环平稳特征检测的样本数量,在保持可接受检测性能的前提下减小了计算复杂度,改善了感知的实时性。
With the rapid development of wireless application and the shortage of available spectrum resources,cognitive radio as one of the most important solutions to overcome the lack of spectrum and improve the efficiency of spectrum,has received more and more attention in combination with Internet of things,5G and other wireless network applications.Spectrum sensing is the key technology of cognitive radio,which identifies spectrum holes that are not used by the primary user and assigns them to cognitive users,making multiple users with different priorities share the same frequency band without mutual interference.A fast cyclostationary feature detection algorithm based on the estimation of signal-to-noise ratio is proposed,which can adjust the number of samples participating in cyclostationary feature detection in real time according to the changing of signal-to-noise ratio,reduce the computational complexity and improve the real-time perception on the premise of meeting acceptable performance.
作者
秦智超
岳兆娟
田辉
QIN Zhi-chao;YUE Zhao-juan;TIAN Hui(China Academy of Electronics and Information Technology,Beijing 100041,China;Computer Network Information Center,Chinese Academy of Sciences,Beijing 100190,China)
出处
《中国电子科学研究院学报》
北大核心
2020年第7期629-634,641,共7页
Journal of China Academy of Electronics and Information Technology
基金
国家自然科学基金(91738202)。
关键词
认知无线电
循环平稳
信道估计
虚警概率
检测概率
cognitive radio
cyclostationary
channel estimation
false alarm probability
detection probability
