Skip to main content
SpringerLink
Log in

Filter Bank Channelizers for Multi-Standard Software Defined Radio Receivers

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

Abstract

The ability to support multiple channels of different communication standards, in the available bandwidth, is of importance in modern software defined radio (SDR) receivers. An SDR receiver typically employs a channelizer to extract multiple narrowband channels from the received wideband signal using digital filter banks. Since the filter bank channelizer is placed immediately after the analog-to-digital converter (ADC), it must operate at the highest sampling rate in the digital front-end of the receiver. Therefore, computationally efficient low complexity architectures are required for the implementation of the channelizer. The compatibility of the filter bank with different communication standards requires dynamic reconfigurability. The design and realization of dynamically reconfigurable, low complexity filter banks for SDR receivers is a challenging task. This paper reviews some of the existing digital filter bank designs and investigates the potential of these filter banks for channelization in multi-standard SDR receivers. We also review two low complexity, reconfigurable filter bank architectures for SDR channelizers based respectively on the frequency response masking technique and a novel coefficient decimation technique, proposed by us recently. These filter bank architectures outperform existing ones in terms of both dynamic reconfigurability and complexity.

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

Access this article

Log in via an institution

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
Figure 11
Figure 12
Figure 13
Figure 14
Figure 15

Similar content being viewed by others

References

  1. Mitola, J. (2000). Software radio architecture, John Wiley.

  2. Hentschel, T., Henker, M., & Fettweis, G. (1999). “The digital front-end of software radio terminals,” IEEE Person. Commun. Magazine, pp. 40–46.

  3. Vinod, A. P., Premkumar, A. B., & Lai, E. M.-K. (2003). “An optimal Entropy coding scheme for efficient implementation of pulse shaping FIR filters in digital receivers,” in Proc. of IEEE International Symposium on Circuits and Systems, vol. 4, pp. 229–232, Bangkok, Thailand.

  4. Vinod, A. P., & Lai, E. M-K. (2006). “Low Power and High-Speed implementation of FIR filters for software defined radio receivers,” IEEE Transactions on Wireless Communications, pp. 1669–1675, no. 5, vol. 7.

  5. Hentschel, T. (2002). “Channelization for software defined base-stations.”. Annales des Telecommunications, 57(5-6), 386–420 ISSN 0003-4347.

    Google Scholar 

  6. Zabre, S., Palicot, J., Louet, Y., Moy, C., & Lereau, C. (2006). “Carrier per Carrier Analysis of SDR Signals Power Ratio”, SDR Forum Technical Conference, Orlando, US.

  7. Phil Schniter: http://cnx.org/content/m10424/latest/.

  8. Kim, C., Shin, Y., Im, S., & Lee, W. (2000). “SDR-based digital channelizer/de-channelizer for multiple CDMA signals,” in Proceedings of IEEE Vehicular technology Conference, vol. 6, pp. 2862–2869.

  9. Fung, C. Y., & Chan, S. C. (2002). “A multistage filter bank-based channelizer and its multiplier less realization”, in Proceedings of IEEE International Symposium on Circuits and Systems, vol.3, pp. 429–432.

  10. Abu-Al-Saud, W. A., & Stuber, G. L. (2004). Efficient wideband channelizer for software radio systems using modulated PR filter banks. IEEE transactions on signal processing, 52(10), 2807–2820. doi:10.1109/TSP.2004.834242.

    Article  Google Scholar 

  11. Lillington, J. (2003). “Comparison of wideband channelization architectures,”http://www.techonline.com/community/techgroup/dsp/tech_paper/33204.

  12. Vinod, A. P., Lai, E. M.-K., Premkumar, A. B., & Lau, C. T. (2003). “A reconfigurable multi-standard channelizer using QMF trees for software radio receivers,” in proceedings of 14th IEEE International Symposium on Personal, Indoor and Mobile Radio Communication, pp. 119–123.

  13. Lillington, J. (2002). “TPFT–Tunable pipelined frequency transform,” RF Engines Ltd, Technical Report. http://www.rfel.com/whipapdat.asp.

  14. Zangi, K., & Koilpillai, R. (1999). Software radio issues in cellular base stations. IEEE journal on selected areas in communications, 17(4), 561–573. doi:10.1109/49.761036.

    Article  Google Scholar 

  15. Zangi, K., & Koilpillai, R. (1998). “Efficient filter bank channelizers for software radio receivers,” in Proceedings of International Conference on Communications, vol. 3, pp. 1566–1570.

  16. Mahesh, R., & Vinod, A. P. (2008). Christophe Moy and Jacques Palicot, “A low complexity reconfigurable filter bank architecture for spectrum sensing in cognitive radios,” Proceedings of 3rd International Conference on Cognitive Radio Oriented Wireless Networks and Communications, Singapore.

  17. Lim, Y. C. (1986). Frequency-response masking approach for the synthesis of sharp linear phase digital filters. IEEE transactions on circuits and systems, 33, 357–364. doi:10.1109/TCS.1986.1085988.

    Article  Google Scholar 

  18. Delahaye, J. P., Leray, P., Moy, C., & Palicot, J. (2005). "Managing Dynamic Partial Reconfiguration on Actual Heterogeneous Platform", SDR Forum Technical Conference’05, Anaheim (USA).

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

  20. Mahesh, R., & Vinod, A. P. (2008). “Reconfigurable frequency response masking filters for software radio channelization.”. IEEE Transactions on Circuits and Systems-II, 55(3), 274–278.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

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

    R. Mahesh & A. P. Vinod

  2. School of Engineering and Advanced Technology, Massey University, Massey, New Zealand

    Edmund M-K. Lai

  3. School of Computing, University of Teeside, Middlesbrough, United Kingdom

    Amos Omondi

Authors
  1. R. Mahesh
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. A. P. Vinod
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Edmund M-K. Lai
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Amos Omondi
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to R. Mahesh.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Mahesh, R., Vinod, A.P., Lai, E.MK. et al. Filter Bank Channelizers for Multi-Standard Software Defined Radio Receivers. J Sign Process Syst 62, 157–171 (2011). https://doi.org/10.1007/s11265-008-0327-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11265-008-0327-y

Keywords

Search

Navigation