Dynamic Threshold Based Spectrum Detection in Cognitive Radio Systems
Guicai Yu, Shao Yu-bin, Hua Long, Guangxin Yue · 2009
This paper presents a new spectrum detection algorithm based on dynamic threshold. Spectrum detection schemes based on fixed threshold are sensitive to noise uncertainty, the proposed scheme can improve the antagonism of noise uncertainty, get a good performance of detection while without increasing the computer complexity. However, for schemes which are not sensitive to noise uncertainty, the proposed scheme, in essence, did not improve the detection performance. Computer simulation results show that the proposed algorithm enhances the robust of anti-noise uncertainty and improves detection performance for schemes are sensitive to in lower signal-to-noise-ratio and large noise uncertainty environments, but not help to schemes which are not sensitive to noise uncertainty.