Cyclostationary Detection of Undefined Secondary Users

Spectrum sensing has continued to emerge as an essential topic for the cognitive networks where two kinds of users primary and secondary will share the band. This paper proposes a method for real-time detection of secondary users at the base stations. Cognitive radios may hide themselves in between the primary users to avoid being charged for using spectrum. To deal with such scenario, a cyclostationary fast Fourier transform FFT Accumulation Method (FAM) has been used to develop a new strategy for channel users recognition. Channel users are tracked according to the changes in their signal parameters for instance modulation techniques. The Matlab simulation runs two signals transmitted on 805 MHz channel. Obtained spectral correlation density functions show successful recognition between different signals.