Channel Estimation Methods for Space-Time Block Transmission in Frequency-Flat Channels

  • N. Nefedov
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3124)


In this paper we consider different approaches for channel estimation based on semi-blind subspace and training channel estimation for orthogonal and non-orthogonal space-time block codes in HSDPA environment. It is found that application of subspace channel estimation in flat fading channels is rather limited, while estimation based on training symbols provides acceptable performance.


Fading Channel Channel Estimation MIMO Channel Symbol Rate Training Symbol 
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  1. 1.
    Alamouti, S.M.: A simple transmit diversity technique for wireless communications. IEEE JSAC 16, 1451–1458 (1998)Google Scholar
  2. 2.
    Tarokh, V., et al.: Space-time codes for high data rate wireless communications: performance criteria. In: Proc. IEEE ICC (1997)Google Scholar
  3. 3.
    Jafarkhani, H.: A quasi-orthogonal space-time block code. IEEE Trans. Comm. 49, 4 (2001)CrossRefGoogle Scholar
  4. 4.
    Tirkkonen, O., Hottinen, A.: Complex space-time block codes for four Tx antennas. In: Proc. IEEE Globecom, pp. 1005–1009 (2000)Google Scholar
  5. 5.
    Hottinen, A., Tirkkonen, O., Wichman, R.: Multi-antenna Transceiver Techniques for 3G and Beyond. Wiley Ltd, Chichester (2003)CrossRefGoogle Scholar
  6. 6.
    Tirkkonen, O., Hottinen, A.: Square-matrix embeddable space-time block codes for complex signal constellations. IEEE Trans. Inform. Theory 48, 384–395 (2002)zbMATHCrossRefMathSciNetGoogle Scholar
  7. 7.
    Psaromiligkos, I., Stamous, A.: On Semi-Blind Channel Estimation of Space-Time Block-Coded Transmission. In: Proc. Conf. ISS (2002)Google Scholar
  8. 8.
    Nefedov, N.: On Subspace Channel Estimation in Multipath SIMO and MIMO Channels. In: de Souza, J.N., Dini, P., Lorenz, P. (eds.) ICT 2004. LNCS, vol. 3124, pp. 532–540. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  9. 9.
    Swindlehurst, A., Leus, G.: Blind and Semi-Blind Equalization for Generalized Space-Time Block Codes. IEEE Trans. Sig. Proc. 50, 2489–2498 (2002)CrossRefGoogle Scholar
  10. 10.
    Zhou, S., Muquet, B., Giannakis, G.: Subspace-Based (Semi-) Blind Channel Estimation for Block Preceoded Space-Time OFDM. IEEE Trans. Sig. Proc. 50, 1215–1228 (2002)CrossRefGoogle Scholar
  11. 11.
    Ping, L., Huang, X., Phamdo, N.: Zigzag Codes and Concatenated Zigzag Codes. IEEE Trans. Inform Theory 47, 800–807 (2001)zbMATHCrossRefMathSciNetGoogle Scholar
  12. 12.
    Nefedov, N.: Evaluation of Low Complexity Concatenated Codes for High Data Rate Transmission. In: Proc. IEEE PIMRC (2003)Google Scholar
  13. 13.
    Ramirez, E., Nefedov, N.: Soft Output Detection using Path Detector for Multiple Antennas. In: Proc. IEEE NorSig (2004)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • N. Nefedov
    • 1
    • 2
  1. 1.Nokia Research CenterFinland
  2. 2.Communications Lab.Helsinki University of TechnologyFinland

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