Energy Detection Based Spectrum Sensing For Cognitive Radio Using Fusion Rules

Cognitive Radio is an emerging technology which avoids the congestion in wireless communication by exploiting unused radio spectrum . The Spectrum sensing plays a fundamental requirement of CR which finds an unused free spectrum and detects the licensed user transmissions. Energy detection constitutes a preferred approach for cognitive rdio spectrum sensing due to its simple applicability. In this paper OR & AND rules are used for the energy detection. In this case probability of miss detection (Pmd) & probability of false alarm (pfa) are estimated using probability density function (PDF) and the thresholds are fixed according to various energy levels and they are shown in simulation results. The simulation results show that our proposed method improves the probability of detection(Pd ) and reduce the probability of error, & provides better accuracy. Probability of false alarm (Pfa) falls below the single user case.