A Novel Method in Matched Filter Spectrum Sensing to Minimize Interference from Compromised Secondary Users of Cognitive Radio Networks

The void spectrum in spread out geographical location and a congestion in spectrum allotment in different regions of the world has led to the scarcity of precious natural resource - the wireless radio spectrum. This led to cognitive radio wireless networks. In CRN when the secondary users are trying to opportunistically use the licensed band, the probability of misuse is more than tolerable. This unwanted interference to licensed primary users can be muted out or mitigated with intelligent sensing using matched filter spectrum sensing. In this paper we have presented a novel method to minimize the interference using cross-correlation of known sample of primary user and the random sample of secondary user. Using heuristic function and other percepts, the classification of secondary users will be made as compromised or not.