Spectrum Sensing Based on Multi-users Integration for Cognitive Radio

摘要

A new algorithm is proposed for spectrum sensing. The new algorithm uses power spectral densities of every cognitive node related. The complexity of the algorithm is analyzed. Simulation results show the probabilities of detection of the proposed algorithm is 0.85 when the signal to noise ratio is -3 dB and the probabilities of false detection is 0.01, which is 65% larger than that of the adaptive weighted cooperative spectrum sensing algorithm.