Novel robust spectrum sensing in impulsive noise environment

In this paper, a novel spectrum sensing scheme, which is robust in the presence of impulsive noise, is proposed to meet the rigid requirements for sensing accuracy. An efficient least trimmed square algorithm incorporated with an adaptive signal trimming scheme is proposed to eliminate the set of signal samples contaminated by impulsive noise. Spectrum sensing based can be performed to the denoised data, thereupon. The studies on the theoretical and practical aspects of our proposed robust spectrum sensing scheme are presented. According to Monte Carlo simulation results, our new scheme effectively eliminates the impulsive noise, and offers more robustness compared with other existing methods.