Mean-Squared-Error Equalization Using Manually Adjusted Equalizers

Vol. 53, No. 5, M a y - J u n e 1974 Printed in U.S.A. Mean-Squared-Error Equalization Using Manually Adjusted Equalizers By Y.-S. CHO ( M a n u s c r i p t r e c e i v e d O c t o b e r 19, 1973) This paper describes an equalization procedure for systems using manually adjustable bump equalizers that is based on a mean-squared error criterion. We shoiu that, in accordance with a Gauss-Seidel iteration process, gain adjustment always converges to the optimal value at which the minimum MSE of the equalized channel is obtained. Both zero forcing and MSE algorithms based on the Gauss-Seidel iteration method are derived, and hardware implementation of these algorithms is discussed. According to the error reduction analysis, an equalizer composed of orthogonal networks requires only one iteration to bring the equalizer to the optimum state. For the bump equalizers used in the latest L5 Coaxial Carrier Transmission System whose Bode networks are semi-orthogonal, two to three iterations are shown to be sufficient to achieve the optimum gain settings in the mean-squared error sense.