Conf. on Info. Sciences and Systems, Baltimore, MD, March 2001
Approximate Channel Identification via Delta-Signed Correlation
J. Balakrishnan , W.A. Sethares and C.R. Johnson, Jr.
Abstract
A method of approximate channel identification is proposed that is
based on a simplification of the correlation estimator. Despite the
numerical simplification (no multiplications or additions are
required, only comparisons and an accumulator), the performance of the
proposed estimator is not significantly worse than that of the
standard correlation estimator. A free (user selectable) parameter
moves ``smoothly'' from a situation with a small sum-squared channel
estimation error but hard-to-identify channel peaks, to one with a
larger sum-squared estimation error but easy-to-identify channel
peaks. The proposed estimator is shown to be biased and its behavior
is analyzed in a number of situations. Applications of the proposed
estimator to sparsity identification, symbol timing recovery, and to
the initialization of blind equalizers are suggested.
