Abstract
Aiming at the fact that the traditional single threshold energy detection in cognitive radio is likely to misjudge situations and then lead to the shortage of missing the spectrum access opportunities due to the low signal to noise ratio caused by single threshold, this paper proposes adaptive cooperative spectrum sensing method based on double threshold energy detection. The model is made based on additive white Gaussian noise channel model, by improving the traditional double threshold energy detection method. For the size of the received energy statistics, different methods of decision are used, and the verdict is determined by the judgment methods directly. The simulation results show that under the condition of low signal-to-noise ratio, compared with the traditional single threshold energy detection model, the adaptive cooperative spectrum sensing model has better recognition performance, and with the increase of number of users, recognition performance is better.
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TAN, R. (2017). Research on Adaptive Cooperative Spectrum Sensing. In: Xhafa, F., Barolli, L., Amato, F. (eds) Advances on P2P, Parallel, Grid, Cloud and Internet Computing. 3PGCIC 2016. Lecture Notes on Data Engineering and Communications Technologies, vol 1. Springer, Cham. https://doi.org/10.1007/978-3-319-49109-7_46
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DOI: https://doi.org/10.1007/978-3-319-49109-7_46
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