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Self-Tuning Blind Identification and Equalization of IIR Channels

Abstract

This paper considers self-tuning blind identification and equalization of fractionally spaced IIR channels. One recursive estimator is used to generate parameter estimates of the numerators of IIR systems, while the other estimates denominator of IIR channel. Equalizer parameters are calculated by solving Bezout type equation. It is shown that the numerator parameter estimates converge (a.s.) toward a scalar multiple of the true coefficients, while the second algorithm provides consistent denominator estimates. It is proved that the equalizer output converges (a.s.) to a scalar version of the actual symbol sequence.

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Correspondence to Miloje Radenkovic.

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Radenkovic, M., Bose, T. & Zhang, Z. Self-Tuning Blind Identification and Equalization of IIR Channels. EURASIP J. Adv. Signal Process. 2003, 707029 (2003). https://doi.org/10.1155/S111086570330410X

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Keywords

  • blind identification
  • self-tuning equalization
  • recursive estimation
  • digital filtering
  • parameter convergence