Parametric localisation of space-time distributed sources
Date
2000
Authors
Fabrizio, G.
Gray, D.
Turley, M.
Editors
Abut, H.
Onural, L.
Onural, L.
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Conference paper
Citation
Proceedings of The 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2000: pp.3097-3100
Statement of Responsibility
Giuseppe A. Fabrizio, Douglas A. Gray and Mike D. Turley
Conference Name
IEEE International Conference on Acoustics, Speech, and Signal Processing (2000 : Istanbul, Turkey)
Abstract
An explicit connection is made between the problem of jointly estimating the parameters of an autoregressive moving-average (ARMA) model which best fits the unbiased sample auto-correlation sequence (ACS) of the data in a least squares sense and the problem of estimating the parameters of superimposed exponentially damped complex sinusoids in additive noise. The mathematical equivalence between the two problems is exploited to derive a novel closed form technique which can be used to parametrically localise one or more space-time distributed sources received by a uniform linear array (ULA) in a computationally attractive manner. The new method is experimentally validated using experimental data from the receiving antenna array of the Jindalee over-the-horizon (OTH) radar located near Alice Springs in central Australia.
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Copyright ©2000 by the Institute of Electrical and Electronics Engineers, Inc.