Share Email Print

Proceedings Paper

Spectral estimation of gapped data and SAR imaging with angular diversity
Author(s): Erik G. Larsson; Jian Li; Peter Stoica; Guoqing Liu; Robert L. Williams
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

The Amplitude and Phase EStimation (APES) approach to amplitude spectrum estimation has been receiving considerably attention recently. We develop an extension of APES for the spectral estimation of gapped (incomplete) data and apply it to synthetic aperture radar (SAR) imaging with angular diversity. It has recently been shown that APES minimizes a certain least-squares criterion with respect to the estimate of the spectrum. Our new algorithm is called gapped-data APES and is based on minimizing this criterion with respect to the missing data as well. Numerical results are presented to demonstrate the effectiveness of the proposed algorithm and its applicability to SAR imaging with angular diversity.

Paper Details

Date Published: 27 August 2001
PDF: 12 pages
Proc. SPIE 4382, Algorithms for Synthetic Aperture Radar Imagery VIII, (27 August 2001); doi: 10.1117/12.438239
Show Author Affiliations
Erik G. Larsson, Univ. of Florida (United States)
Jian Li, Univ. of Florida (United States)
Peter Stoica, Uppsala Univ. (Sweden)
Guoqing Liu, Univ. of Florida (United States)
Robert L. Williams, Air Force Research Lab. (United States)

Published in SPIE Proceedings Vol. 4382:
Algorithms for Synthetic Aperture Radar Imagery VIII
Edmund G. Zelnio, Editor(s)

© SPIE. Terms of Use
Back to Top