Real-time Cyclostationary Analysis for Cognitive Radio via Software Defined Radio
Cyclostationary analysis such as Spectral Correlation Function (SCF) and Spectral Coherence Function (SOF) has been accepted as an important tool in signal detection and Radio Frequency (RF) parameter estimation in cognitive radios. However, cyclostationary analysis requires extremely high resolution to fully observe the cyclic frequency features, leading to very high computational complexity and difficulty in real time implementation, especially on software defined radios where computational capability is limited. In this paper, the authors implement and demonstrate a real time SCF/SOF RF signal analyzer by adopting previously proposed two-stage dynamic resolution SCF/SOF estimation method using software defined radios. Specifically, high resolution SCF/SOF calculation is only performed near the expected cyclic feature locations obtained through a low complexity coarse estimation employing spectral analysis.