Cyclostationarity-Based Spectrum Sensing for Wideband Cognitive Radio

This paper addresses the problem of cyclostationary detection when the signal spectrum is partly intercepted. The signal model for partial interception of spectrum is presented. Cyclostationary feature of signal is analyzed in this scenario and cyclic spectrum present region is also defined. An improved cyclic spectrum estimator as well as detection strategy for unknown feature location is proposed. Simulation results verify that performance of proposed algorithm can satisfy the requirement of feature detection.