Modified Cyclostationarity Feature Detection for Asynchronous PU Occurrence in Cognitive Radio Systems

Ashraf A. Eltholth

This paper mitigates the consequences of asynchronous primary user (PU) activities within the cognitive radio user sensing time period. The effect of arrival and departure times of PU on the joint time-frequency cyclostationarity is illustrated with the 802.11a OFDM signal and applies results obtained for an adaptive threshold based cyclostationarity feature. The proposed scaling algorithm is based on the probability of effective sample size. The proposed algorithm improves the ROC performance under various PU occurrence conditions.