Skip to main content
Log in

Generalized Bandpass Sampling Algorithm for Multiband Wireless Receivers Suitable for SDR Applications

  • Published:
Circuits, Systems, and Signal Processing Aims and scope Submit manuscript

Abstract

The bandpass sampling technique is a promising solution for the architecture of software-defined radio receivers. It is possible to digitize signals directly from the radio frequency stage when properly selecting the sampling frequency. With multistandard or multiband radio receivers, system nonlinearities mainly due to low noise amplifiers and downconversion circuits can generate rich output spectra with variable amplitude component levels. Bandpass sampling of such a spectrum, without causing aliasing, is a challenging task. For a nonlinear system, the minimum sampling frequency has been derived only for single-band and dual-band input signals. In this paper, a generalized bandpass sampling algorithm is developed to determine a minimum valid bandpass sampling frequency for either linear or nonlinear systems by considering a multiband input spectrum. Our objective is reducing the complexity of the sampling frequency calculation. Implementation results demonstrate the efficiency and low complexity of the proposed algorithm.

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

Access this article

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

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

References

  1. D.M. Akos, M. Stockmaster, J.B.Y. Tsui, J. Caschera, Direct bandpass sampling of multiple distinct RF signals. IEEE Trans. Commun. 47(7), 983–988 (1999)

    Article  Google Scholar 

  2. J. Bae, J. Park, An efficient algorithm for bandpass sampling of multiple RF signals. IEEE Signal Process. Lett. 13(4), 193–196 (2006)

    Article  Google Scholar 

  3. R. Barrak, A. Ghazel, F.M. Ghannouchi, Optimized multistandard RF subsampling receiver architecture. IEEE Trans. Wirel. Commun. 8(6), 2901–2909 (2009)

    Article  Google Scholar 

  4. S.A. Bassam, A. Kwan, W. Chen, M. Helaoui, F.M. Ghannouchi, Subsampling feedback loop applicable to concurrent dual-band linearization architecture. IEEE Trans. Microw. Theory Tech. 60(6), 1990–1999 (2012)

    Article  Google Scholar 

  5. S. Bose, V. Khaitan, A. Chaturvedi, A low-cost algorithm to find the minimum sampling frequency for multiple bandpass signals. IEEE Signal Process. Lett. 15, 877–880 (2008)

    Article  Google Scholar 

  6. M. Choe, K. Kim, Bandpass sampling algorithm with normal and inverse placements for multiple RF signals. IEICE Trans. Commun. 88(2), 754–757 (2005)

    Article  Google Scholar 

  7. S. Li, C. Zhai, X. Zhan, B. Wang, Implement of real-time GPS L1 software receiver. 4th International Conference on Computer Science Education (ICCSE), pp. 1132–1137 (2009)

  8. Y.P. Lin, Y.D. Liu, S.M. Phoong, A new iterative algorithm for finding the minimum sampling frequency of multiband signals. IEEE Trans. Signal Process. 58(10), 5446–5450 (2010)

    Article  MathSciNet  Google Scholar 

  9. J.R.G Oya, A. Kwan, S.A. Bassam, F. Munoz, F.M. Ghannouchi, Optimization of subsampling dual band receivers design in nonlinear systems. IEEE MTT-S International Microwave Symposium Digest (MTT), pp. 1–3 (2012)

  10. J.R.G. Oya, A. Kwan, F.M. Ghannouchi, S.A. Bassam, F. Munoz, Design of dual-band multistandard subsampling receivers for optimal SNDR in nonlinear and interfering environments. IEEE Trans. Instrum. measurement 63(4), 981–983 (2014)

    Article  Google Scholar 

  11. J. Thabet, R. Barrak, A. Ghazel, Enhancement of bandpass sampling efficiency in direct RF subsampling receivers: application to multiband GPS subsampling receiver. 2014 International Conference on Multimedia Computing and Systems (ICMCS), pp. 1412–1417 (2014)

  12. C.H. Tseng, A universal formula for the complete bandpass sampling requirements of nonlinear systems. IEEE Trans. Signal Process. 57(10), 3869–3878 (2009)

    Article  MathSciNet  Google Scholar 

  13. C.H. Tseng, Bandpass sampling criteria for nonlinear systems. IEEE Trans. Signal Process. 50(3), 568–577 (2002)

    Article  MathSciNet  Google Scholar 

  14. C.H. Tseng, S.C. Chou, Direct downconversion of multiband RF signals using bandpass sampling. IEEE Trans. Wirel. Commun. 5(1), 72–76 (2006)

    Article  Google Scholar 

  15. R.G. Vaughan, N.L. Scott, D.R. White, The theory of bandpass sampling. IEEE Trans. Signal Process. 39(9), 1973–1984 (1991)

    Article  Google Scholar 

  16. N. Wong, T.S. Ng, An efficient algorithm for downconverting multiple bandpass signals using bandpass sampling. IEEE International Conference on Communications, ICC 2001, vol. 3, pp. 910–914 (2001)

  17. S. Yu, X. Wang, Bandpass sampling of one RF signal over multiple RF signals with contiguous spectrums. IEEE Signal Process. Lett. 16(1), 14–17 (2009)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jihen Thabet.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Thabet, J., Barrak, R., Ghazel, A. et al. Generalized Bandpass Sampling Algorithm for Multiband Wireless Receivers Suitable for SDR Applications. Circuits Syst Signal Process 36, 1099–1114 (2017). https://doi.org/10.1007/s00034-016-0341-4

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00034-016-0341-4

Keywords

Navigation