A forward/backward bootstrapped structure for blind separation of signals in a multi-channel dispersive environment

  • Authors:

  • Abdulkadir Dinç;Yeheskel Bar-Ness

  • Affiliations:

  • Corporate Computer Systems, Holmdel, NJ;Center for Communication and Signal Proc., ECE Dept., New Jersey Inst. of Technology, Newark, N.J.

  • Venue:
  • ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: digital speech processing - Volume III
  • Year:
  • 1993

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Abstract

This paper proposes a new multidimensional adaptive algorithm with Forward/Backward bootstrapped structure for dispersive channel environment. It is an alternative multi-signal separator where the loop-bandwidth of the signal separator structure and steady state performance are crucial. It separates superimposed convolutive multi uncorrelated signals. The Bootstrapped adaptive algorithm which does not require a training sequence employs the minimization of output signal correlations as optimization criteria. The control algorithm is set for the multidimensional case. The learning process of the 2 dimensional signal separator using computer simulation is investigated and compared to that of the least mean square (LMS) algorithm for different cross channel eigenvalue spreads.