A new approach to motion estimation for ISAR imaging

Author

Simmons, Stephen ; Evans, Robin

Author_Institution

Dept. of Electr. & Electron. Eng., Melbourne Univ., Parkville, Vic., Australia

Volume

v

fYear

1994

fDate

19-22 Apr 1994

Abstract

This paper presents a new motion estimation algorithm for inverse synthetic aperture radar imaging known as minimum motion error estimation (MMEE). Conventional cross-correlation motion compensation uses the magnitude of the target´s range profiles to obtain a coarse estimate of the target´s radial motion. This has to be followed by adaptive beamforming phase compensation before a focused ISAR image can be produced. However, MMEE uses the full complex frequency response to estimate the target´s radial motion so accurately that no additional phase compensation is required to produce a focussed ISAR image. Even when high noise levels degrade the MMEEs radial motion estimates, errors in the the motion estimates are exact multiples of the wavelength of the radar´s centre frequency and the image remains focussed in the cross-range direction

Keywords

correlation methods; error analysis; frequency response; motion compensation; motion estimation; radar imaging; synthetic aperture radar; ISAR imaging; centre frequency; complex frequency response; cross-correlation; cross-range direction; high noise levels; inverse synthetic aperture radar; minimum motion error estimation; motion estimation algorithm; radial motion; target range profiles; Array signal processing; Error analysis; Focusing; Frequency estimation; Frequency response; Inverse synthetic aperture radar; Motion compensation; Motion estimation; Noise level; Phase estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on

Conference_Location

Adelaide, SA

ISSN

1520-6149

Print_ISBN

0-7803-1775-0

Type

conf

DOI

10.1109/ICASSP.1994.389497

Filename

389497