Title :
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
fDate :
June 28 1993-July 2 1993
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;
Conference_Titel :
Antennas and Propagation Society International Symposium, 1993. AP-S. Digest
Conference_Location :
Ann Arbor, MI, USA
Print_ISBN :
0-7803-1246-5
DOI :
10.1109/APS.1993.385577
