Proc. SPIE. 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013)
KEYWORDS: Signal to noise ratio, Detection and tracking algorithms, Computer simulations, Telecommunications, Information technology, Palladium, Wireless communications, Intelligence systems, Electronics engineering, Fusion energy
According to different credits among users in cooperative spectrum sensing, this paper proposes improved evidence based cooperative spectrum sensing algorithm. The proposed algorithm obtains the user credit through punishing users with incorrect decisions and rewarding users with correct decisions. The user credit is then used to calculate user weights that affect the final decision. The simulation results show that the proposed algorithm can effectively enhance the detection accuracy of cooperative spectrum sensing comparing to normal D-S algorithm.