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Wideband Spectrum Sensing Based on Reconfigurable Filter Bank in Cognitive Radio

Author

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  • Huan Wang

    (Institute of Electronic Engineering, China Academy of Engineering Physics, Mianyang 621900, China
    School of Information Engineering, Southwest University of Science and Technology, Mianyang 621010, 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)

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.

Suggested Citation

  • Huan Wang & Bin Wu & Yuancheng Yao & Mingwei Qin, 2019. "Wideband Spectrum Sensing Based on Reconfigurable Filter Bank in Cognitive Radio," Future Internet, MDPI, vol. 11(11), pages 1-13, November.
    • Handle: RePEc:gam:jftint:v:11:y:2019:i:11:p:244-:d:288291
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