Skip to main content
Springer Nature Link
Log in

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

  • Published:
Journal of Signal Processing Systems Aims and scope Submit manuscript

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8
Figure 9
Figure 10

Similar content being viewed by others

References

  1. Proakis, J. Digital Communications, 3rd edition, Mc Graw Hill.

  2. Sai Shankar, N., Cordeiro, C., Challapali, K. (2005). “Spectrum agile radios: utilization and sensing architectures,” in First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005, DySPAN 2005, pp. 160–169, Baltimore, USA, Nov.

  3. Behrouz, F.-B. (2008) Filter Bank Spectrum Sensing for Cognitive Radios. IEEE Trans. Signal Process, 56(5).

  4. Faheem S., & Benny, B. (2008). “Cognitive Spectrum Sensing and Detection Using Polyphase DFT Filter Banks,” IEEE CCNC 2008 proceedings pp. 973–977, Las Vegas, NV, Jan.

  5. Mahesh, R., Vinod, A. P. (2008). “Coefficient decimation approach for realizing reconfigurable finite impulse response filters,” Proceedings of IEEE International Symposium on Circuits and Systems pp.81–84, Seattle, USA, May.

  6. Hentschel, T. (2002). “Channelization for software defined base-stations,” Annales des Telecommunications, ISSN 0003-4347, vol. 57, pp. 386–420, no. 5–6, May–June.

  7. Treichler, J. R. (1989). “Notes on the Design of Opti-mal FIR Filters,” Applied Signal Technology Technical Note TN-070-89, 2 November.

  8. Phil Schniter: “Downsampling,” Connexions, 20 September 2005, [Online] http://cnx.org/content/m10441/latest. Accessed Aug 2008.

  9. Phil Schniter, “Downsampling,” Connexions, 18 October 2005, [Online] http://cnx.org/content/m10403/latest. Accessed Aug 2008.

  10. Rabiner, et al (1975). “FIR digital filter design techniques using weighted chebyshev approximation,” in Proc. of IEEE, vol. 63, pp. 595–610, April.

  11. Zangi, K. C., & Koilpillai, R. D. (1999). Software radio issues in cellular base stations. IEEE Journal fson Selected Areas in Communications, 17(4), 561–573. doi:10.1109/49.761036.

    Article  Google Scholar 

Download references

Author information

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
    View author publications

    You can also search for this author inPubMed Google Scholar

  2. A. P. Vinod
    View author publications

    You can also search for this author inPubMed Google Scholar

  3. Chong Meng Samson See
    View author publications

    You can also search for this author inPubMed Google Scholar

Corresponding author

Correspondence to A. P. Vinod.

Rights and permissions

Reprints and permissions

About this article

Cite this article

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

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

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

Keywords