The optimization of wideband cyclostationary feature detector with receiver constraints

Cognitive radio system is a context-aware technology in communications. Spectrum awareness is an important function in the design of cognitive radio systems. It senses the presence or absence of primary users in the spectrum and declares the unoccupied channels for secondary users. Cyclostationary Feature Detection is about the detection of signals based on their features such as cyclic frequencies, symbol rates, carrier frequencies and modulation types. Detection can occur at very low signal to noise ratios.However performance degrading constraints such as cyclic and sampling clock offsets can occur at the receiver through the local oscillator frequency offsets, Doppler effects and jitter. We propose a multi-slot cyclostationary feature detector that reduces the effects of these constraints by optimizing for the number and size of each slot and fast Fourier transform. These slots and fast Fourier transforms are used to show the reduction of these offsets and the detection performance is compared for different scenarios with and without offsets.