access icon free Performance of linear minimum-output energy receiver for self and alien crosstalk mitigation in upstream vectored very high-speed digital subscriber line

Linear zero-forcing (ZF) canceller does not perform well in the presence of alien crosstalk (AXT) while the receivers based on minimum-mean-square-error (MMSE) criterion require perfect knowledge of the noise covariance matrices. In this study, the authors consider the use of a constrained linear minimum-output energy (MOE) receiver in the presence of self-crosstalk and AXT in upstream vectored very high-speed digital subscriber line systems, that does not require knowledge of the noise correlation matrices and can be trained using the received signals without the use of training sequences. They derive bounds on the performance of the MOE receiver in the digital subscriber line environment and show that it reaches the MMSE performance for self-crosstalk cancellation. They also show that the performance of the proposed receiver lies in between that of the ZF receiver and the non-linear ZF generalised decision feedback equaliser receiver. An adaptation of the canceller coefficients using MOE algorithm shows comparable performance to that of the least mean squares algorithm. The effect of noise correlation on the capacity has also been highlighted via the Cramer-Rao lower bound. Computer simulations are presented to verify the analytical results and demonstrate the performance of the proposed receiver.

Inspec keywords: radio receivers; crosstalk; digital subscriber lines; decision feedback equalisers; least mean squares methods; channel capacity

Other keywords: spatial noise correlation; nonlinear ZF generalised decision feedback equaliser receiver; alien crosstalk; constrained linear minimum-output energy receiver; self-crosstalk cancellation; constrained linear MOE receiver; noise covariance matrices; Cramer-Rao lower bound; MMSE criterion; canceller coefficients; upstream vectored very high-speed digital subscriber line systems; single-user bound; linear zero-forcing canceller; AXT; minimum-mean-square-error criterion

Subjects: Subscriber loops; Radio links and equipment; Interpolation and function approximation (numerical analysis)

References

    1. 1)
    2. 2)
    3. 3)
      • 22. Ehrenberg, L., Gannot, S., Leshem, A., Zehavi, E.: ‘Sensitivity analysis of MVDR and MPDR beamformers’. Proc. IEEE 26th Convention of Electrical and Electronics Engineers in Israel (IEEEI 2010), Eilat, Israel, November 2010, pp. 416420.
    4. 4)
    5. 5)
    6. 6)
      • 1. ITU-T Recommendation G.993.2 (G.VDSL2): ‘Very high speed digital subscriber line transceivers 2 (VDSL2)’, 2006.
    7. 7)
    8. 8)
      • 8. Pandey, P.K., Moonen, M., Deneire, L.: ‘MMSE-based partial crosstalk cancellation for upstream VDSL’. Proc. IEEE Int. Conf. on Commun. (ICC 2010), Cape Town, South Africa, May 2010, pp. 15.
    9. 9)
      • 3. Chowdhery, A., Cioffi, J.M.: ‘Dynamic spectrum management for upstream mixtures of vectored and non-vectored DSL’. Proc. IEEE Global Telecomm. Conf. (GLOBECOM 2010), Miami, Florida, USA, December 2010, pp. 16.
    10. 10)
    11. 11)
    12. 12)
    13. 13)
    14. 14)
    15. 15)
    16. 16)
      • 20. Haykin, S.: ‘Adaptive filter theory’ (Pearson Education Asia, 2002, 4th edn.).
    17. 17)
    18. 18)
      • 9. Zafaruddin, S.M., Prakriya, S., Prasad, S.: ‘Iterative receiver based on SAGE algorithm for crosstalk cancellation in upstream vectored VDSL’. ISRN Commun. and Networking, 2011, Article ID 586574, pp. 15.
    19. 19)
    20. 20)
      • 4. Kerpez, K., Cioffi, J.M., Galli, S., et al: ‘Compatibility of vectored and non-vectored VDSL2’. Proc. 46th Annual Conf. Information Sciences and Systems (CISS 2012), Princeton, NJ, USA, March 2012, pp. 16.
    21. 21)
    22. 22)
      • 7. Wahibi, I., Ouzzif, M., Masson, J.L., Saoudi, S.: ‘Crosstalk cancellation in upstream coordinated DSL using an iterative MMSE receiver’. Proc. of IEEE Int. Conf. Commun. (ICC 2009), Dresden, Germany, June 2009, pp. 15.
    23. 23)
      • 21. NIPP-NAI-2007-010R2: ‘100 × 100 FEXT coupling matrix’. AT&T, Adtran & Conexant, Nashvile USA, February 2007.
    24. 24)
      • 18. Kay, S.M.: ‘Fundamentals of statistical signal proc., Vol. I: estimation theory’ (Prentice-Hall, Englewood Cliffs, NJ, USA, 1993).
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-com.2014.0896
Loading

Related content

content/journals/10.1049/iet-com.2014.0896
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading