The Implementation of wideband Cyclostationary Feature Detector with receiver constraints

Abstract

Cognitive radio system is a context-aware technology in communications. Spectrum sensing is an important function in the implementation of cognitive radio systems by detecting the presence or absence of primary users within the frequency spectrum and makes available free channels for secondary users. Cyclostationary Feature Detector is capable of detecting signals at low signal to noise ratios relying on the signals features such as cyclic frequency, symbol rate, carrier frequency and modulation type. Local oscillator frequency offsets, Doppler effects and jitter produce cyclic and sampling clock offsets at the receiver which will degrade the performance. We propose a multi-slot cyclostationary feature detector that reduces the effects of the offsets by deriving the pair of slot and fast Fourier transform sizes that can be used for implementation. Consequently, this pair was used to show that these offsets can be reduced and also compared the detection performance scenarios with and without offsets.