Abstract: Cognitive frequency hopping technology is to apply cognitive radio to frequency hopping communication. The spectrum hole in cognitive frequency hopping spectrum can be detected effectively to avoid the collision of frequency points and improve the spectral efficiency to update the frequency hopping points. The time-domain correlation algorithm in spectrum detection technology for cognitive radio has some defects in anti-interference, universality and real-time performance due to the existence of noise and primary signals. A time-domain correlation algorithm based on power spectrum cancellation is proposed to detect the cognitive frequency hopping spectrum. The proposed algorithm can be used to improve the detection probability of signals. Moreover, it can overcome the noise uncertainty and restrain the primary signals. Theoretical analysis and computer simulation demonstrate that the time-domain correlation algorithm based on power spectrum cancellation is superior to traditional time-domain correlation algorithm. Key

Key words: communicationtechnology, cognitivefrequencyhopping, powerspectrumcancellation, time-domaincorrelation