Equalization with Amplitude Banded LMS Adaptation for Stationary Channels

T. Shimamura (Japan)


LMS adaptation, amplitude banding, equalizer, nonlinear classification, stationary channel


In this paper the amplitude banded least mean square (ABLMS) equalizer addressed by Shimamura et al. re cently is studied as a nonlinear equalizer for stationary channels. The performance of the ABLMS equalizer is comprehensively investigated by changing the equalizer parameters in a comparative fashion with the correspond ing LMS equalizer. Computer simulation results show that the ABLMS equalizer provides a significant performance improvement by setting adequate amplitude division with low filter order.

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