A new block adaptive filtering algorithm for decision-feedback equalization of multipath fading channels

This brief presents a modified general optimum block adaptive (MGOBA) algorithm for block adaptive decision-feedback equalization (DFE) of multipath fading channels. Unlike the original GOBA algorithm, which was proposed only for processing real-valued signals and its recursion cannot work correctly for adaptive DFE when the block length is less than the number of decision-feedback equalizer (also abbreviated to DFE) coefficients, the MGOBA algorithm can process complex-valued signals and its recursion has no constraints on the block length as well as the number of DFE coefficients. As compared to the sequential Kalman and another previously proposed optimum block adaptive algorithms, the MGOBA algorithm achieves better error-rate performance for block adaptive DFE of rapidly fading radio channels