A consideration on the blind channel estimation based on IIR type model with bias compensation

In this paper, we discuss a blind channel equalization (BCE) considered where the output data is corrupted by additive noise. As one of BCE methods, there is a method of permuting the parameter estimation problem of finite impulse response (FIR) channel model to that of infinite impulse response (IIR) system model. The feature of this method is the ability to use several existing adaptive algorithm. However, in the actual system, it is considered that the output data includes an additive noise. Under the influence of noise, asymptotic bias arises in the presumed value of frequency characteristics of channel. Then, we propose the modified BCE method using a recursive bias compensated least-squares (RBCLS) algorithm. The performances of the proposed algorithm are shown by computer simulation.