Self-tuning blind identification and equalization of IIR channels

Authors:
Miloje Radenkovic;Tamal Bose;Zhurun Zhang
Affiliations:
Department of Electrical Engineering, College of Engineering and Applied Science, University of Colorado at Denver, Denver, CO;Department of Electrical and Computer Engineering, Center for High-speed Information Processing (CHIP), Utah State University, Logan, UT;Department of Electrical and Computer Engineering, Center for High-speed Information Processing (CHIP), Utah State University, Logan, UT
Venue:
EURASIP Journal on Applied Signal Processing
Year:
2003

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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.