High-resolution SAR imaging with angular diversity

Author

Larsson, Erik G. ; Liu, Guoqing ; Stoica, Petre ; Li, Jian

Author_Institution

Dept. of Electr. & Comput. Eng., Florida Univ., Gainesville, FL, USA

Volume

37

Issue

4

fYear

2001

fDate

10/1/2001 12:00:00 AM

Firstpage

1359

Lastpage

1372

Abstract

We propose to use the APES (amplitude and phase estimation) approach for the spectral estimation of gapped data and synthetic aperture radar (SAR) imaging with angular diversity. A relaxation-based algorithm, referred to as GAPES (Gapped-data APES), is proposed, which includes estimating the spectrum via APES and filling in the gaps via a least squares (LS) fitting. For SAR imaging with angular diversity data fusion, we perform one-dimensional (1-D) windowed fast Fourier transforms (FFTs) in range, use the GAPES algorithm to interpolate the gaps in the aperture for each range, apply 1-D inverse FFTs (IFFTs) and dewindow in range, and finally apply the two-dimensional (2-D) APES algorithm to the interpolated matrix to obtain the 2-D SAR image. Numerical results are presented to demonstrate the effectiveness of the proposed algorithm

Keywords

amplitude estimation; fast Fourier transforms; interpolation; least squares approximations; phase estimation; radar imaging; radar resolution; radar theory; relaxation theory; sensor fusion; synthetic aperture radar; 1-D inverse FFT; APES algorithm; GAPES algorithm; angular diversity; data fusion; gapped data amplitude and phase estimation; high-resolution two-dimensional synthetic aperture radar imaging; least squares fitting; matrix interpolation; one-dimensional windowed fast Fourier transform; relaxation algorithm; spectral estimation; Amplitude estimation; Fast Fourier transforms; Filling; Flexible printed circuits; High-resolution imaging; Least squares approximation; Phase estimation; Radar polarimetry; Synthetic aperture radar; Two dimensional displays;

fLanguage

English

Journal_Title

Aerospace and Electronic Systems, IEEE Transactions on

Publisher

ieee

ISSN

0018-9251

Type

jour

DOI

10.1109/7.976971

Filename

976971