In order to improve the performance of spectrum
sensing usage for Cognitive Radio (CR) user, weighted Energy
Detection (ED) methods is proposed. In this paper, we consider
Cooperative Spectrum Sensing (CSS) in centralized CR
networks. The main purpose is to design a new weight model
which is given by received sensing energy from all CR users and
its probability distribution function. Subsequently, a method of
obtaining an optimum threshold to minimize the sensing error
probability is provided. The simulation results show that
significant gain achieved in detection accuracy by exploiting
proposed scheme compared with conventional Equal Gain
Combining (EGC) scheme, especially in low Signal-to-Noise Ratio
(SNR) region.