Estimation of object location from wideband scattering data

We present a time domain algorithm for computation of the maximum likelihood estimate of the location of a known scattering object from wide-band scattering data acquired in a suite of scattering experiments. The algorithm consists of a three-step procedure: (1) data filtering, (2) time-domain backp...

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Veröffentlicht in:	IEEE transactions on image processing 1999, Vol.8 (7), p.996-1001
Hauptverfasser:	Tsihrintzis, G.A., Devaney, A.J., Heyman, E.
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive filters Algorithms Applied sciences Backpropagation algorithms Bayesian methods Coherence Exact sciences and technology Filtering Filtration Image processing Information, signal and communications theory Inverse Inverse problems Nonlinear filters Position (location) Scattering Signal processing Signal processing algorithms Telecommunications and information theory Tomography Wideband
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Beschreibung
Zusammenfassung:	We present a time domain algorithm for computation of the maximum likelihood estimate of the location of a known scattering object from wide-band scattering data acquired in a suite of scattering experiments. The algorithm consists of a three-step procedure: (1) data filtering, (2) time-domain backpropagation, and (3) coherent summation and is implemented via a number of forward and inverse Radon transforms integrated into a tomographic scheme. A computer simulation is included for illustration purposes.
ISSN:	1057-7149 1941-0042
DOI:	10.1109/83.772253