Technique Stages for Efficient Wideband Spectrum Sensing Based on Compressive Sensing

摘要

In this paper, the problems related on spectrum sensing in Cognitive Radio (CR) devices are discussed. In this context, the conventional mechanisms require that the operation signal sampling would be performed at least at the Nyquist rate and also allowing only narrowband sensing operation or wideband sensing limited by sensing continuous narrowband channels. Therefore, this problem is approached from the Compressive Sensing (CS) approach, which is a proposal that reduces the dimensionality of the signals, and therefore can be applied to sub-Nyquist sampling allowing the wideband spectrum sensing operation. In this context, it is proposed to use Signal representation, coding signal (sampling) and reconstruction, in this way signal representation is performed by hard thresholding, sampling the wideband signal is performed using the random demodulator and reconstruction through implementation reconstruction algorithm based on modified orthogonal matching pursuit (OMP). As a whole, the wideband spectrum sensing mechanism proposed verifies the methodological steps are valid and applicable to this type of scenario, and also allows to check the advantages and disadvantages of the sampling mechanism used as the reconstruction algorithm implemented.