Progressive decimation filter banks for variable resolution spectrum sensing in cognitive radios

Mengda Lin*, A. P. Vinod, Chong Meng Samson

*Corresponding author for this work

Research output: Chapter in Book/Conference Proceeding/ReportConference Paper published in a bookpeer-review

12 Citations (Scopus)

Abstract

Conventional uniform discrete Fourier transform filter bank (DFTFB) used in energy detection based spectrum sensors provides only fixed sensing resolution. In this paper, we propose a progressive decimation filter bank (PDFB) that can provide variable sensing resolution and adapt to different detection bandwidths for wideband spectrum sensing in cognitive radios. From an initial fixed-coefficient modal filter, a filter bank that has multiple passbands of different passband widths can be obtained using coefficient decimation. Changing the number of subbands in proposed method does not involve hardware re-implementation. Design examples show that the detection performance of proposed variable resolution PDFB is comparable to that of conventional fixed resolution DFTFB based spectrum sensor.

Original languageEnglish
Title of host publicationICT 2010
Subtitle of host publication2010 17th International Conference on Telecommunications
Pages857-863
Number of pages7
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event2010 17th International Conference on Telecommunications, ICT 2010 - Doha, Qatar
Duration: 4 Apr 20107 Apr 2010

Publication series

NameICT 2010: 2010 17th International Conference on Telecommunications

Conference

Conference2010 17th International Conference on Telecommunications, ICT 2010
Country/TerritoryQatar
CityDoha
Period4/04/107/04/10

Keywords

  • Coefficient decimation
  • Cognitive radio
  • Filter bank
  • Reconfigurable sensing resolution
  • Spectrum sensing

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