An iterative spectrum sensing method based on double decision threshold

摘要

Traditionally, it cannot achieve the desired detection performance by only using CFAR criterion or CDR criterion to calculate decision threshold in spectrum sensing energy detection algorithms. With the decrease of SNR, noise error will accumulate, and algorithm complexity will increase. To solving these problems, this paper proposes a new iterative spectrum sensing method (CFADR) which uses a double decision threshold. CFADR combines CFAR criterion and CDR criterion to set the decision threshold. Perception results by using the proposed method in this paper are close to the desired false alarm probability when reaching a certain probability of detection. Compared with only using traditional CFAR criterion or CDR criterion to set threshold, the performance of perception results by using CFADR has been improved greatly. Theoretical analysis and simulation results show the effectiveness of the proposed method.