A robust spatio-temporal processing for multipath environments with an antenna array

  • Authors:

  • Yoshio Konno;Jianting Cao;Mamoru Tanaka

  • Affiliations:

  • Department of Electrical and Electronics Engineering, Sophia University, Tokyo, Japan and Hamilton Institute, National Universityof Ireland, Maynooth, Co. Kildare, Ireland;Department of Electronics Engineering, Saitama Institute of Technology, Saitama, Japan and Brain Signal Processing, RIKEN, Wako-shi, Saitama, Japan;Department of Electrical and Electronics Engineering, Sophia University, Tokyo, Japan

  • Venue:
  • SSIP'05 Proceedings of the 5th WSEAS international conference on Signal, speech and image processing
  • Year:
  • 2005

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Abstract

In this paper, a novel algorithm of spatial and temporal equalization for multiuser detection with an antenna arrayis demonstrated. Our proposed approach enables us to reduce a high-level noise from noisy arraysignals with irrelevant signal measurements. Our robust approach includes three procedures. In the first procedure, a robust subspace technique is utilized to reduce a high-power of additive noise and a correlation among channels. In this procedure, we propose a scale-free method of cochannel interference reduction. Moreover, a cross-validation technique is applied to estimate the number of signals. In the second procedure, the independent component analysis (ICA) is applied to decompose independent components. In the third procedure, a self-adaptive multipath identification is presented. A self-adaptive algorithm is a practical technique for estimating the changing multipath in order to identify the dynamical channel. Applying our proposed approach to the experimental data, we demonstrate the effectiveness of our method.