基于过采样和多重自相关的认知无线电盲感知算法研究
Research on a Blind Sensing Algorithm in Cognitive Radio Based on Over-Sampling and Multiple Autocorrelation
DOI: 10.12677/HJWC.2015.51001, PDF,    国家自然科学基金支持
作者: 陈 宏, 王树彬, 刘 琨, 孟方方, 李树华：内蒙古大学电子信息工程学院，内蒙古 呼和浩特
关键词: 认知无线电；频谱感知；盲感知；能量检测；自相关；Cognitive Radio； Spectrum Sensing； Blind Sensing； Energy Detection； Autocorrelation
摘要: 针对认知无线电中频谱感知的能量检测算法在低信噪比时检测概率较低的问题，提出了一种基于过采样和多重自相关的盲信道感知方法。先对接收信号进行过采样，再把信号分成多个子信道，每个子信道进行自相关运算。仿真分析表明，与传统能量感知技术相比，当自相关的次数增多时，检测概率有很大的提高。
Abstract: For the traditional energy detection in cognitive radio having a very low detection probability in low SNR, this paper proposes a blind sensing method based on over-sampling and multiple auto-correlation. Firstly, a received signal is over-sampled. Then, the signal is divided into multiple sub-channels. Finally, each sub-channel has an autocorrelation operation. The simulation results show that the detection probability for the proposed method improves more greatly than the tra-ditional energy detection algorithm when the times for the autocorrelation operation increase.
文章引用：陈宏, 王树彬, 刘琨, 孟方方, 李树华. 基于过采样和多重自相关的认知无线电盲感知算法研究[J]. 无线通信, 2015, 5(1): 1-6. http://dx.doi.org/10.12677/HJWC.2015.51001

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