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On Subspace Channel Estimation in Multipath SIMO and MIMO Channels

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

Abstract

Earlier studies showed that iterative processing at receiver may significantly improve performance in wireless communications. In particular, performance of space-time block codes (STBC) extended for frequency selective channels may be notably improved by iterative channel estimation (ICE). On the other hand, the ICE at least doubles the receiver complexity that limits its implementation in handsets. In this paper we address non-iterative blind subspace estimation based on the second order statistics (SOS), which is simpler than the iterative receiver. Accuracy and robustness of the SOS (semi-)blind estimators with respect to different channel profiles are evaluated and compared to the ICE. Based on sensitivity analysis appropriate parameters for (semi-)blind estimators are selected. It is found that the SOS semi-blind subspace methods may approach accuracy (in terms of MSE) of the ICE.

Keywords

Mean Square Error Channel Estimation Second Order Statistic Channel Impulse Response MIMO Channel 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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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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