Wideband Spectrum Sensing Based on Reconfigurable Filter Bank in Cognitive Radio

Huan Wang, Bin Wu, Yuancheng Yao and Mingwei Qin
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Huan Wang: Institute of Electronic Engineering, China Academy of Engineering Physics, Mianyang 621900, China
Bin Wu: School of Information Engineering, Southwest University of Science and Technology, Mianyang 621010, China
Yuancheng Yao: School of Information Engineering, Southwest University of Science and Technology, Mianyang 621010, China
Mingwei Qin: School of Information Engineering, Southwest University of Science and Technology, Mianyang 621010, China

Future Internet, 2019, vol. 11, issue 11, 1-13

Abstract: 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.

Keywords: reconfigurable filter bank; adjustable resolution; energy detection; wideband spectrum-sensing (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2019
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