ISAR Cross-Range Scaling by Using Sharpness Maximization

Author

Jialian Sheng ; Mengdao Xing ; Lei Zhang ; Mehmood, M.Q. ; Lei Yang

Author_Institution

Nat. Key Lab. of Radar Signal Process., Xidian Univ., Xi´an, China

Volume

12

Issue

1

fYear

2015

fDate

Jan. 2015

Firstpage

165

Lastpage

169

Abstract

This letter presents a new method of cross-range scaling in inverse synthetic aperture radar (ISAR) imaging. The effective rotational velocity (ERV), being the crucial factor for scaling, is generally unknown for noncooperative objects. By considering the degradation from target rotation, the proposed scheme estimates ERV based on image sharpness maximization. A range deviator induced by the center shift is also embedded in the estimation process. The cross-range scaling factor with an enhanced ISAR image can be obtained by an efficient Gauss-Newton method. The results acquired from both the simulations and real data experiments validate the effectiveness and robustness of the proposed method.

Keywords

Newton method; object recognition; optimisation; radar cross-sections; radar imaging; synthetic aperture radar; Gauss-Newton method; ISAR cross-range scaling; cross-range scaling factor; effective rotational velocity; enhanced ISAR image; estimation process; image sharpness maximization; inverse synthetic aperture radar imaging; noncooperative objects; real data experiments; target rotation; Doppler effect; Estimation; Imaging; Measurement; Radar imaging; Robustness; Signal to noise ratio; Cross-range scaling; effective rotational velocity (ERV); inverse synthetic aperture radar (ISAR); motion compensation; sharpness maximization;

fLanguage

English

Journal_Title

Geoscience and Remote Sensing Letters, IEEE

Publisher

ieee

ISSN

1545-598X

Type

jour

DOI

10.1109/LGRS.2014.2330625

Filename

6855364