Study on spectrum sensing algorithm of cyclostationary feature based on time aliasing in cognitive radio

In order to reduce the computational amount of the spectrum sensing algorithm and to improve the frequency resolution in cognitive radio, a spectrum sensing algorithm of cyclostationary feature based on time aliasing and smooth sinc window is proposed in this paper. Firstly, the basic steps of this spectrum sensing method are given carefully. Secondly, the performance of the algorithm are analysed from the aspects of computation complexity and bias error in spectrum domain by theoretical derivation. Finally, the simulation results are given to prove the effectivity of this spectrum sensing algorithm.