Double krylov subspace approximation for low complexity iterative multi-user decoding and time-variant channel estimation

IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC

Volumn 2005, Issue , 2005, Pages 328-332

  Dumard, Charlotte ^a   Zemen, Thomas ^a  

^a TELECOMMUNICATIONS RESEARCH CENTER VIENNA FTW   (Austria)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; CODE DIVISION MULTIPLE ACCESS; ITERATIVE METHODS; OPTICAL FILTERS; PROBLEM SOLVING; TIME VARYING NETWORKS;

KRYLOV SUBSPACE METHOD; MINIMUM MEAN SQUARE ERROR (MMSE); MULTI-USER DETECTION; TIME-VARIANT CHANNEL ESTIMATION;

COMMUNICATION SYSTEMS;

EID: 33745501019     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SPAWC.2005.1506041     Document Type: Conference Paper

References (10)

1. T. Zemen, C. F. Mecklenbräuker, J. Wehinger, and R. R. Müller, "Iterative multi-user decoding with time-variant channel estimation for MC-CDMA," in Fifth International Conference on 3G Mobile Communication Technologies, London, United Kingdom, 18-20 Oct. 2004, (invited).
2. A. Lampe and J.B. Huber, "Iterative interference cancellation for DS-CDMA systems with high system loads using reliability-dependent feedback," IEEE Trans. Veh. Technol., vol. 51, no. 3, pp. 445-452, May 2002.
3. D. Slepian, "Prolate spheroidal wave functions, Fourier analysis, and uncertainty - V: The discrete case," The Bell System Technical Journal, vol. 57, no. 5, pp. 1371-1430, May-June 1978.
4. T. Zemen and C. F. Mecklenbräuker, "Time-variant channel estimation using discrete prolate spheroidal sequences," IEEE Trans. Signal Processing, accepted for publication.
5. Y. Saad, Iterative Methods for Sparse Linear Systems, SLAM, 2nd edition, 2003.
6. T. K. Moon and W.C. Stirling, Mathematical Methods and Algorithms, Prentice Hall, 2000.
7. M. Joham and M.D. Zoltowski, "Interpretation of the multi-stage nested Wiener filter in the Krylov subspace framework," Technical Report TUM-LNS-TR-00-6, Munich University of Technology, Nov. 2000.
8. T. Zemen, OFDM Multi-User Communication Over Time-Variant Channels, Ph.D. thesis, Vienna University of Technology, Vienna, Austria, July 2004.
9. G. H. Golub and C. F. Van Loan, Matrix Computations, Johns Hopkins University Press, Baltimore (MD), USA, 2nd edition, 1989.
10. L. M. Correia, Wireless Flexible Personalised Communications, Wiley, 2001.