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A New Flexible Filter Bank for Low Complexity Spectrum Sensing in Cognitive Radios

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Abstract

Conventional filter bank-based spectrum sensing methods employ uniform discrete Fourier transform filter bank (DFTFB). In this paper, we propose a multi-stage coefficient decimation filter bank (MS-CDFB) for wideband spectrum sensing in cognitive radios. From an initial fixed-coefficient modal filter, a filter bank that has multiple passbands of either uniform or different passband widths can be obtained using coefficient decimation. Design examples show that proposed MS-CDFB offers a complexity reduction of about 30% over the DFTFB while giving a superior sensing accuracy than the latter. The complexity reduction of MS-CDFB over the DFTFB is 85%, if both the spectrum sensors are designed to produce identical sensing accuracies.

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Authors and Affiliations

  1. School of Computer Engineering, Nanyang Technological University, Singapore, 639798, Singapore

    Mengda Lin & A. P. Vinod

  2. DSO National Laboratories, 20 Science Park Drive, Singapore, 118230, Singapore

    Chong Meng Samson See

Authors
  1. Mengda Lin
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  2. A. P. Vinod
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  3. Chong Meng Samson See
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Correspondence to A. P. Vinod.

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Lin, M., Vinod, A.P. & See, C.M.S. A New Flexible Filter Bank for Low Complexity Spectrum Sensing in Cognitive Radios. J Sign Process Syst 62, 205–215 (2011). https://doi.org/10.1007/s11265-008-0329-9

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  • DOI: https://doi.org/10.1007/s11265-008-0329-9

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