| Summary: | At present, most spectrum sensing algorithms based on energy detector and cyclic spectral density detector can only achieve well performance in the stationary noise, but fail to apply in the non-stationary noise environment. To remove enormous effect of non-stationary noise in spectrum sensing, this paper utilizes the fourth-order cyclic polyspectrum(FOCP) to inhibit non-stationary noise, proposes a spectrum sensing algorithm based on the FOCP. The algorithm first applies to the cumulant slice method to compute of FOCP. Then, the sum value of the magnitude square of the simplified FOCP(SS-FOCP) is used to sense the intercept signal of cognitive user. Finally, it calculates the crest factor to judge the presence or not of the primary user signal. The simulation results show that the proposed algorithm has higher detection probability and better performance than traditional algorithms in non-stationary noise environment.
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