Polyphase filter bank based multi‐band spectrum sensing in cognitive radio systems
Haijian Zhang, Didier Le Ruyet, Daniel Roviras, Hong Sun · International Journal of Communication Systems · 2014
Summary Spectrum sensing has been identified as an essential enabling functionality for cognitive radio (CR) systems to guarantee that CR users could share the spectrum resource with licensed users on a non‐interfering basis. Recently, simultaneous sensing of multi‐band licensed user activity has been attracting more and more research interest. Generally, the multi‐band sensing is implemented through energy detection by estimating power spectral density. In this paper, we investigate a multi‐band energy detection architecture based on different polyphase filter banks (PFBs), which aim to reliably sense multiple active bands by exploiting the low power leakage property of PFB. We have theoretically derived the closed‐form expressions of detection probability and false alarm probability for PFBs and fast Fourier transform based detectors, respectively. Theoretical detection thresholds are therefore computed, which ensures a fair comparison for different detectors. Final experimental results are presented to verify our theoretical analysis and demonstrate that PFBs based sensing architecture exhibits better sensing performance than the conventional FFT.Copyright © 2014 John Wiley & Sons, Ltd.