A Robust Cooperative Spectrum Sensing Method in Cognitive Radio Networks
Rui Gao, Zan Li, Peihan Qi, Husheng Li · IEEE Communications Letters · 2014
In real cognitive radio networks, the requirement for spectrum sensing in the case of lacking prior information and dynamically varying noise levels indeed poses a severe challenge. Motivated by these, in this letter, a Cooperative Power spectral density Split Cancelation (CPSC) method is proposed. The CPSC makes full use of the asymptotic normality and independence of a Fourier transform to get the stochastic properties of the power spectral density. We derive an exact closed-form expression of a decision threshold and provide an analysis about computational complexity. Analytical and simulation results show that the CPSC is robust under uncertain noise. Meanwhile, the CPSC benefits from a low computational cost and existing mature intellectual property cores; thus, it can be implemented efficiently.