Maximum likelihood estimation of object location in diffraction tomography. II. Strongly scattering objects

Author

Tsihrintzis, George A. ; Devaney, Anthony J.

Author_Institution

Dept. of Electr. & Comput. Eng., Northeastern Univ., Boston, MA, USA

Volume

39

Issue

6

fYear

1991

fDate

6/1/1991 12:00:00 AM

Firstpage

1466

Lastpage

1470

Abstract

For pt.I see ibid., vol.39, no.3, p.672-82, 1991. The problem of estimating the location of a known scattering object from noisy, limited scattering data is solved within exact, scalar wave scattering theory. The estimation procedure is shown to be a generalization of an earlier procedure developed within the Born and Rytov approximations of weak scattering theory and is compared with that earlier procedure in a computer simulation study of electromagnetic tomography

Keywords

computerised tomography; electromagnetic wave diffraction; electromagnetic wave scattering; signal detection; Born approximation; Rytov approximation; computer simulation; diffraction tomography; electromagnetic tomography; exact scattering theory; filters; limited scattering data; maximum likelihood estimation; noisy data; object location; scalar wave scattering theory; scattering objects; weak scattering theory; Backpropagation algorithms; Computed tomography; Computer simulation; Diffraction; Estimation theory; Matched filters; Maximum likelihood estimation; Parameter estimation; Radar scattering; Scattering parameters;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.136562

Filename

136562