Journal of Signal Processing Systems

, Volume 62, Issue 2, pp 173–185 | Cite as

Promising Technique of Parameterization For Reconfigurable Radio, the Common Operators Technique: Fundamentals and Examples

  • L. Alaus
  • J. Palicot
  • C. Roland
  • Y. Louët
  • D. Noguet
Article
First Online:
Received:
Revised:
Accepted:

Abstract

In the field of Software Radio (SWR), parameterization studies have become a very important topic. This is mainly because parameterization will probably decrease the size of the software to be downloaded, and also because it will limit the reconfiguration time. In this paper, parameterization is considered as a digital radio design methodology. Two different techniques, namely common functions and common operators are considered. In this paper, the second view is developed and illustrated by two examples: the well known Fast Fourier Transform (FFT) and the proposed Reconfigurable Linear Feedback Shift Register (R-LFSR), derived from the classical Linear Feedback Shift Register (LFSR) structure.

Keywords

Software defined radio Parameterization Reconfigurable Common operator Fast Fourier Transform (FFT) Linear Feedback Shift Register (LFSR) 
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References

  1. 1.
    Mitola, J. (1995). The software radio architecture. IEEE Communications Magazine, 33, 26–38. doi: 10.1109/35.393001.CrossRefGoogle Scholar
  2. 2.
    Tuttlebee, W. (1995). Evolution of radio systems into the 21st century. Bath, United-Kingdom: IEEE Radio receivers and associated systems.Google Scholar
  3. 3.
    Forum, S. D.R. Software Defined Radio Forum, http://www.sdrforum.org/.
  4. 4.
    Rhiemeier, A. (2002). Benefits and limits of parameterized channel coding for software radio. 2nd Karlsruhe Workshop on Software Radios. Germany.Google Scholar
  5. 5.
    Jondral, F. (2002). Parameterization-a technique for SDR Implementation. In W. Tuttlebee (ed.), Software Defined Radio Enabling Technologies (pp. 233–256) WileyGoogle Scholar
  6. 6.
    Palicot, J., & Roland, C. (2003). FFT: A basic function for a reconfigurable receiver. Papeete: ICT’ 2003.Google Scholar
  7. 7.
    Alaus, L., Noguet, D., & Palicot, J. (2008). A reconfigurable linear feedback shift register for software defined radio terminal. Santorin: ISWPC2008.Google Scholar
  8. 8.
    Ghouwayel, A., Louët, Y., & Palicot, J. (2006). A reconfigurable butterfly architecture for fourier and fermat transforms. Karlsruhe: WSR’06.Google Scholar
  9. 9.
    Moy, C., Palicot, J., Rodriguez, V., & Giri, D. (2006). Optimal determination of common operators for multi-standards software-defined radio. Karlsruhe, Germany: WSR’06.Google Scholar
  10. 10.
    Rodriguez, V., Moy, C., & Palicot, J. (2007). Install or invoke?: The optimal tradeoff between performance and cost in the design of multi-standard reconfigurable radios. In Wiley InterScience. Wireless Communications and Mobile Computing Journal, 7(9), 1143–1156. doi: 10.1002/wcm.487.CrossRefGoogle Scholar
  11. 11.
    Tessier, R., & Burleston, W. (2001). Reconfigurable computing for digital signal processing: a survey. Journal of VLSI Signal Processing, 28, 7–27. doi: 10.1023/A:1008155020711.MATHCrossRefGoogle Scholar
  12. 12.
    Klapper, A., & Goresky, M. (2002). Fibonacci and Galois representations of feedback-with-carry shift registers. IEEE Transactions on Information Theory, 48(11), 2826–2836.MATHCrossRefMathSciNetGoogle Scholar
  13. 13.
    Alaus, L., Palicot, J., & Noguet, D. (2008). Extended reconfigurable linear feedback shift register operators for SDR. Bologna: ISSSTA’08.Google Scholar
  14. 14.
    Ferrara, E., Cowan, C., Grant, P. (1995). Frequency domain adaptive filtering. Prentice-Hall.Google Scholar
  15. 15.
    Mansour, D., & Gray, A. (1982). Unconstrained frequency-domain adaptive filter. IEEE Transactions on Acoustic, Speech and Signal Processing, 30(5), 726–734.MATHCrossRefGoogle Scholar
  16. 16.
    Schirtzinger, T., Li, X., & Jenkins, W. (1995). A comparison of three algorithms for blind equalization based on the constant modulus error criterion. New York: ICASSP’95.Google Scholar
  17. 17.
    Berberidis, K., Palicot, J. (1995). A block Quasi-Newton Algorithm implemented in the frequency domain. EUSIPCO’96, Trieste, September.Google Scholar
  18. 18.
    Berberidis, K., Palicot, J.: (1995). A frequency domain decision feedback equalizer for multipath echo cancellation. Globecom’95, Singapore.Google Scholar
  19. 19.
    Berberidis, K., Marava, A., Karaivazoglou, P., & Palicot, J. (2001). Robust and Fast Converging decision feedback equalizer based on a new adaptive semi blind estimation algorithm. San Antonio: Globecom’01.Google Scholar
  20. 20.
    Alard, M., Lassalle, R. (1987). Principles of modulation and channel coding for digital broadcasting for mobile receivers. EBU Review, Technical N 224.Google Scholar
  21. 21.
    Akansu, A., Duhamel, P., Lin, X., & Courville, M. (1998). Orthogonal transmultiplexers in communications: a review. IEE Transactions on Signal Processing, 46(4), 979–995.CrossRefGoogle Scholar
  22. 22.
    Hentschel, T. (2002). Channelization for software defined base-stations. Annals of Telecommunications, 57(5), 386–420.MathSciNetGoogle Scholar
  23. 23.
    Hentschel, T., Fettweis, G., & Bronzel, M. (1998). Channelization and sample rate adaptation in software radio terminals. Rhodes: ACTS Mobile Communications Summit.Google Scholar
  24. 24.
    Garcia, J., Gubolivic, Z., Diaz, F., Alonso, J., Macleod, J., Beach, M. (2000). TRUST approach to software defined radio: RF considerations. Summit’00, Galway, Ireland.Google Scholar
  25. 25.
    Tuttlbee, W. (2001). Software defined radio: Enabling technology. Wiley.Google Scholar
  26. 26.
    Zangi, K., & Koilpillai, D. (1999). Software radio issues in cellular base stations. IEEE Journal On Selected Areas in Communications, 17(4), 561–573. doi: 10.1109/49.761036.CrossRefGoogle Scholar
  27. 27.
    Crochiere, R., Rabiner, L. (1983). Multirate digital signal processing. Prentice-Hall.Google Scholar
  28. 28.
    Bailly, B., Bidet, E., Cardin, J., Djoko Kouam, M., Joanblanq, C., & Palicot, J. (1995). FDF a 512 FIR filter using a mixed temporal-frequential approach. Santa Clara: CICC’95.Google Scholar
  29. 29.
    Tseng, B. (1989). Direct realization of the transpose structure for FIR and IIR Filters. Signals, Systems and Computers Twenty-Third Asilomar Conference.Google Scholar
  30. 30.
    Proakis, J. (2007). Digital communications, McGraw-Hill Higher Education.Google Scholar
  31. 31.
    ARIB STD-T63-25.212 V4.5.0, Multiplexing and channel coding, (FDD), (Release 4).Google Scholar
  32. 32.
    IEEE Std 802.11b-1999/Cor 1-2001Google Scholar
  33. 33.
    IEEE Std 802.11g-2003Google Scholar
  34. 34.
    IEEE Std 802.16 - Part 16Google Scholar
  35. 35.
    Leveiller, S. (2004). Quelques Algorithmes de Cryptanalyse du Registre Filtré. Thesis Report, Ecole Nationale Supérieure des Télécommunications.Google Scholar
  36. 36.
    Kitsos, P., Sklavos, N., Zewas, N., Koufopavlou, O. (2001). A reconfigurable linear feedback shift register (LFSR) for the bluethooth System. University of Patras.Google Scholar
  37. 37.
    Siclet, C., Siohan, P., & Pinchon, D. (2002). Oversampled orthogonal and biorthogonal multicarrier modulations with perfect reconstruction. Santorini: DSP ’00.Google Scholar
  38. 38.
    Helard, M., Le Gouable, R., Helard, J., & Baudais, J. (2001). Multicarrier CDMA techniques for future wideband wireless networks. Annals of Telecommunications, 56(5), 260–274.Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  • L. Alaus
    • 1
  • J. Palicot
    • 2
  • C. Roland
    • 3
  • Y. Louët
    • 2
  • D. Noguet
    • 1
  1. 1.CEA-LETI, MinatecGrenoble Cedex 9France
  2. 2.SUPELECCesson-Sévigné CedexFrance
  3. 3.Université de Bretagne Sud, UEBLorientFrance

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