A single-axis
receiver processing, for example, complex vestigial
sideband modulated signals with an
equalizer with forward and feedback filters. Forward and feedback filters have parameters that are initialized and adapted to
steady state operation. Adaptive
equalization employs linear predictive filtering and error term generation based on various cost criteria. Adaptive
equalization includes recursive update of parameters for forward and feedback filtering as operation changes between linear and decision-feedback
equalization of either single or multi-channel signals. An adaptive, linear predictive filter generates real-valued parameters that are employed to set the parameters of the feedback filter. In an initialization mode, filter parameters are set via a
linear prediction filter to approximate the inverse of the channel's impulse /
frequency response and a constant modulus error term for
adaptation of the filter parameters. In an acquisition mode, equalization is as linear equalization with a constant modulus error term, and possibly other error terms in combination, for
adaptation of the filter parameters. In a tracking mode, equalization is as decision feedback equalization with decision-directed error terms for
adaptation of the filter parameters. For some
equalizer configurations, feedback filtering is applied to real-valued decisions corresponding to complex-valued received data, and includes real-part extraction of the error term employed for recursive update of filtering parameters. Where a training sequence is available to the
receiver, initial parameters for forward filtering are estimated by correlation of the received
signal with the training sequence.