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Inicio  /  Future Internet  /  Vol: 11 Par: 11 (2019)  /  Artículo
ARTÍCULO
TITULO

Wideband Spectrum Sensing Based on Reconfigurable Filter Bank in Cognitive Radio

Huan Wang    
Bin Wu    
Yuancheng Yao and Mingwei Qin    

Resumen

In order to ease the conflict between the bandwidth demand of high-rate wireless communication and the shortage of spectrum resources, a wideband spectrum sensing method based on reconfigurable filter bank (RFB) with adjustable resolution is presented. The wideband signals are uniformly divided into multi-narrowband signals by RFB, which is designed by polyphase uniform Discrete Fourier Transform (DFT) modulation, and each sub-band is sensed by energy detection. According to the idle proportion of detected sub-bands, the number of RFB sub-bands is reset in next spectrum-sensing time. By simulating with collected wideband dataset, the influence of filter bank sub-bands number and idle state proportion on the sensing results is analyzed, and then on the basis of the trade-off between spectrum-sensing resolution and computational complexity, the optimal sub-bands number of filter bank is selected, so as to improve the detection performance and save resources.