A New algorithm improving SAR resolution based on SVA

Author

Ping Zhang ; Jian Shang ; Ruliang Yang

Author_Institution

Inst. of Electron., Chinese Acad. of Sci., Beijing

fYear

2009

fDate

20-22 April 2009

Firstpage

1

Lastpage

4

Abstract

Resolution enhancement techniques in radar imaging have attracted considerable interest in recent years. The paper develops a new technique enhancing SAR resolution as well as suppressing sidelobes based on SVA technique. Spatially variant apodization (SVA) is a nonlinear sidelobe reduction method without lose the resolution of mainlobe. The signal bandwidth is extrapolated after SVA, which is the basis of resolution enhancement. An inverse weight function is used to equalize the SVA spectrum. A modified noninteger Nyquist spatially variant apodization (SVA) formulation is used to suppress sidelobes after extrapolation. Examples of ID case and 2D case demonstrate enhanced image resolution with sidelobe reduction.

Keywords

image resolution; radar imaging; radar resolution; synthetic aperture radar; SAR resolution; inverse weight function; noninteger Nyquist spatially variant apodization; nonlinear sidelobe reduction; radar imaging; resolution enhancement; Spatially Variant Apodization (SVA); Super-resolution; Synthetic Aperture Radar (SAR);

fLanguage

English

Publisher

iet

Conference_Titel

Radar Conference, 2009 IET International

Conference_Location

Guilin

ISSN

0537-9989

Print_ISBN

978-1-84919-010-7

Type

conf

Filename

5367405