Skip to main content

Self-Tuning Blind Identification and Equalization of IIR Channels


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.

Author information



Corresponding author

Correspondence to Miloje Radenkovic.

Rights and permissions

Reprints and Permissions

About this article

Cite this article

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

Download citation


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