LMS estimation via structural detection

  • Authors:
  • J. Homer;I. Mareels;R.R. Bitmead;B. Wahlberg;A. Gustafsson

  • Affiliations:
  • Dept. of Comput. Sci. & Electr. Eng., Queensland Univ. of Technol., Brisbane, Qld.;-;-;-;-

  • Venue:
  • IEEE Transactions on Signal Processing
  • Year:
  • 1998

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Abstract

We consider the LMS estimation of a channel that may be well approximated by an FIR model with only a few nonzero tap coefficients within a given delay horizon or tap length n. When the number of nonzero tap coefficients m is small compared with the delay horizon n, the performance of the LMS estimator is greatly enhanced when this specific structure is exploited. We propose a consistent algorithm that performs identification of nonzero taps only. The results are illustrated via a simulation study