A novel parametric SAR autofocus method

Author

Xu, Jia ; Peng, Yingning ; Zhang, Liping ; Lin, Yin ; Xia, Xian

Author_Institution

Dept. of Electron. Eng., Tsinghua Univ., Beijing, China

fYear

2004

fDate

26-29 April 2004

Firstpage

50

Lastpage

52

Abstract

In synthetic aperture radar (SAR), low scene-contrast may invalidate most of the existing autofocus methods, and the limited autofocus performance is also difficult to verify. Based on a parametric statistical signal model in the coherent processing interval (CPI) of SAR, a novel SAR autofocus method is developed and it is especially applicable to extremely low-contrast scenes. Furthermore, the limitation of CPI length and the Cramer-Rao low bound of the autofocus parameter estimation are all analytically obtained. Finally, real measurement data is also exploited to validate the proposed model and the new method.

Keywords

focusing; image reconstruction; radar imaging; statistical analysis; synthetic aperture radar; CPI length limitation; Cramer-Rao low bound; SAR imaging; autofocus parameter estimation; coherent processing interval; low scene-contrast; parametric SAR autofocus method; parametric statistical signal model; reconstructed image; synthetic aperture radar; Acceleration; Azimuth; Clutter; Degradation; Distortion measurement; Layout; Parameter estimation; Radar scattering; Signal processing; Synthetic aperture radar;

fLanguage

English

Publisher

ieee

Conference_Titel

Radar Conference, 2004. Proceedings of the IEEE

Print_ISBN

0-7803-8234-X

Type

conf

DOI

10.1109/NRC.2004.1316394

Filename

1316394