Frequency domain goodness of fit test based spectrum sensing method with dynamically varying noise
Rui Gao, Peihan Qi, Zhenghua Zhang · China Communications · 2020
In cognitive radio networks, spectrum sensing under circumstances of dynamically varying noise and lacking prior information is a key challenge to the conventional spectrum sensing algorithms. Since the necessary information is rather difficult to obtain practically, most existing spectrum sensing methods are fettered in applications. Motivated by these, in this paper, a Frequency domain Goodness of Fit Test (FGoF) based spectrum sensing method is proposed. The FGoF makes full use of underlying information in Guard- Bands and the advantages of GoF test works for any distribution. Analytical and simulated results show that the FGoF is a robust spectrum sensing method in cognitive radio with the inherent advantages of invulnerability to dynamically varying noise.