Cyclostationarity-Based Detection of Randomly Arriving or Departing Signals

Abstract

This paper addresses the problem of detection of randomly arriving or departing primary user (PU) signals in cognitiveradio systems. The detection problem of the dynamic PU signal is modeled as a binary hypothesis testing problemwhere the PU signal might randomly depart or arrive during the sensing period. Then, we detect the cyclostationarityof the PU signal using a test statistic derived from the spectral autocoherence function in dynamic PU signalenvironments. Numerical results show that the proposed scheme offers an improved spectrum sensing performancethan the conventional energy detector for dynamic PU environments.