Maximum-likelihood wideband direction-of-arrival estimation
Fuhrmann, D.R.; Miller, M.I.
Multidimensional Signal Processing Workshop, 1989., Sixth
Volume , Issue , 6-8 Sep 1989 Page(s):133 - 134
Digital Object Identifier 10.1109/MDSP.1989.97076
Summary:The specific problem that was addressed is one in which there is
limited data in both the temporal and spatial dimensions, so that one
cannot assume the use of ordinary Fourier transforms on the time domain
outputs of each sensor. Rather, zero-mean Gaussian statistics were
assumed, and the likelihood of the observed data was directly maximized
with respect to the parameters which enter into the covariance matrix of
the multivariate distribution. Two models were pursued. The first is a
parametric model in which it is assumed that there are a fixed number of
independent, wide-sense-stationary, plane-wave signals. The second model
is one in which there is energy impinging upon the array from a spatial
continuum. EM (expectation-maximization) algorithms appropriate for
these two problems were derived
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