A broadband maximum likelihood imager for a class of extended space-time separable sources

Author

Andrew, Rex K. ; Kirlin, Lynn R.

Author_Institution

Dept. of Electr. & Comput. Eng., Victoria Univ., BC, Canada

Volume

48

Issue

5

fYear

2000

fDate

5/1/2000 12:00:00 AM

Firstpage

1287

Lastpage

1294

Abstract

An algorithm is presented that reconstructs the shape of an extended incoherent source using only the broadband signals radiated from the source to a sparse array. The source is modeled with a small set of parameters. For the specific class of space-time separable sources, which have similar spatial structure at multiple frequencies, the information radiated at each frequency is recombined into a broadband likelihood function in order to improve the estimation of the source parameters. Expressions for the Cramer-Rao bounds (CRBs) are provided, and the performance of the algorithm is demonstrated for a “Gaussian-lump” shaped source

Keywords

Gaussian processes; array signal processing; image reconstruction; maximum likelihood estimation; Cramer-Rao bounds; Fisher information matrix; Gaussian-lump shaped source; algorithm; broadband likelihood function; broadband maximum likelihood imager; broadband signals; extended incoherent source; extended space-time separable sources; shape reconstruction; source parameters estimation; sparse array; Covariance matrix; Frequency estimation; Gaussian distribution; Image reconstruction; Maximum likelihood estimation; Oceans; Refining; Sea surface; Shape; Surface waves;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.839976

Filename

839976