An overview of high-resolution spectral estimators for range-Doppler imaging

Author

Flores, B.C. ; Chen, J. ; Yiang, Y.

Author_Institution

Dept. of Electr. Eng., Texas Univ., El Paso, TX, USA

fYear

1993

fDate

June 28 1993-July 2 1993

Firstpage

1902

Abstract

Modern spectral estimators based on parametric and nonparametric models are widely used to enhance the resolution of target range profiles, Doppler profiles and range-Doppler imagery. The authors review the different spectral approaches proposed in the open literature as applied to range-Doppler imaging. they then discuss some important problems yet to be resolved and the rationale of the high-resolution imaging approaches. In range-Doppler image formation, scatterer features are considerably enhanced via one-dimensional, hybrid two-dimensional, and two-dimensional spectral estimator techniques.<>

Keywords

Doppler radar; autoregressive processes; discrete Fourier transforms; eigenvalues and eigenfunctions; extrapolation; image resolution; matrix decomposition; maximum likelihood estimation; radar clutter; radar imaging; high-resolution spectral estimators; nonparametric models; parametric models; range-Doppler imagery; scatterer features; target range profiles; Data mining; Discrete Fourier transforms; Extrapolation; Frequency; High-resolution imaging; Image resolution; Maximum likelihood estimation; Multiple signal classification; Radar scattering; Reflectivity;

fLanguage

English

Publisher

ieee

Conference_Titel

Antennas and Propagation Society International Symposium, 1993. AP-S. Digest

Conference_Location

Ann Arbor, MI, USA

Print_ISBN

0-7803-1246-5

Type

conf

DOI

10.1109/APS.1993.385577

Filename

385577