An efficient spectrum sensing using compressive measurements in Cognitive Radio

Cognitive Radio (CR) is an intelligent wireless communication system to solve spectral clogging problem and increasing bandwidth utilization for next generation wireless communication applications. Computationally and energy efficient spectrum sensing for detecting spectrum holes in wideband radio spectrum still remains a challenge. The cognitive nodes which are far away from primary user (PU) may not be able to detect the PU due to severe fading in channel. Here we proposed system is used to improve the efficiency of spectrum sensing in cooperative communication system based on cognitive relay using compressive measurement algorithms. Using this proposed method, the bit error rate (BER) reduces due to increase in the probability of detection. Employing more number of relay nodes reduces the sensing time, improves the quality of communication and increases throughput of system at reasonable complexity using compressive signal processing (CSP).