Comparison of Energy Detection & Matched Filter Methods for Spectrum Sensing in Cognitive Radio

Now a days numbers of users increases for communication. A frequency band are limited for communication. So, it requires to sense the primary user of spectrum for this problem the cognitive radio(CR) communication outcome. Cognitive radio is able to detect the spectrum holes in the spectrum bands. It is represent the potential opportunities for unused spectrum which requires three main tasks-spectrum sensing, spectrum analysis and spectrum allocation. Spectrum sensing involves obtaining the spectrum usage characteristics across multiple dimensions such as time, space, frequency and code. In this paper, Spectrum Sensing methods namely Energy Detection & Matched filter are compare by some performance criteria like sensing accuracy, sensing time & sensing performance.