An Energy Detector for Spectrum Sensing in Impulsive Noise Environment

In this paper we propose a robust energy detector for spectrum sensing in cognitive radio systems. The detector is derived by modelling the noise process as consisting of two components, Gaussian noise and impulsive noise. The impulsive noise is modelled using a uniform distribution that appears with a certain probability. A convenient approximation using the max operator is then applied to the resulting probability density function to gain mathematical tractability. The performance of the proposed detector is analysed theoretically and the results of the theoretical analysis are verified in our simulation study.