An adaptive channel parameter estimation using QQ-plot

New algorithm for estimation of parameters of communication channel in the circumstances of existence of intensive impulse noise within measurement sequence is proposed in this paper. Proceeding from the theory of robust estimation, a simple, adaptive, practically applicable algorithm is derived that in the circumstances of contaminated normal distribution of measurement noise demonstrates high level of efficiency. QQ-plot technique is used as a framework for estimation of contaminated measurements distribution providing the algorithm adaptation. Application of proposed algorithm is broad, both in the field of wireless communications, equalization of transmitting channels, suppressing of noise and in modeling communication and control systems.