Knowledge-based adaptive channel equalization

In this paper, a new method for adaptive channel equalization is presented, which is called knowledge-based adaptive filter (in short, NBA). Through the knowledge of known waveform is combined with adaptive filter technique by this method, slowly varied adaptive channel equalization is realized. Compared to the common adaptive equalizer based on predictive deconvolution, predictive error of output waveform from the equalizer and convergent rate of the adaptive filter are improved because the knowledge of known waveform is joined to NBA (knowledge-based adaptive filter). This paper conforms the validity of NBA method by the theory and the simulative results on computer.