Vol.5 No.1 (February 2015)
Research on a Blind Sensing Algorithm in Cognitive Radio Based on Over-Sampling and Multiple Autocorrelation
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.
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