Paper data
Title:
Joint Zero-Forcing and Matched Filter Processing in an Adaptive Equalizer Using the Linearly Constrained Least-Mean Square Algorithm
Author(s):
Harris Fred, San Diego State University
Bologna Frank, SPAWAR Systems Center
Page numbers in the proceedings:
Volume I pp 673-676
Session:
Channel Estimation and Equalization
Joint Zero-Forcing and Matched Filter Processing in an Adaptive Equalizer Using the Linearly Constrained Least-Mean Square Algorithm
Author(s):
Harris Fred, San Diego State University
Bologna Frank, SPAWAR Systems Center
Page numbers in the proceedings:
Volume I pp 673-676
Session:
Channel Estimation and Equalization
Paper abstract
Digital receivers often contain a cascade of two filters in the base-band signal-conditioning path. The first is a square-root raised-cosine Nyquist matched filter designed to maximize SNR and suppress out-of-band interference, while the other is a decision-directed (T/2)-spaced equalizer which removes the spectral distortion introduced by the channel. This paper presents an equalizer modified to permit a single filter to converge simultaneously to a (T/2)-spaced zero forcing equalizer and a matched filter.
Paper
