Spectrum Sensing Data-Fusion Algorithm based on Reputation

Spectrum sensing data-fusion algorithm is the key component of cognitive ratio network.For a better detection of the malicious secondary user and a better adaptation to the environment changes,an improved weighted sequential probability ratio test algorithm based on the record of the secondary user’s test result is proposed.In combination of the record with the corresponding user’s reputation,a new weight is gained,and it would be used for calculation of the final sensing decision in the fusion center.