Research on a Blind Sensing Algorithm in Cognitive Radio Based on Over-Sampling and Multiple Autocorrelation
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 (2015) 基于过采样和多重自相关的认知无线电盲感知算法研究。 无线通信， 5， 1-6. doi: 10.12677/HJWC.2015.51001
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