@inproceedings{f691d48995c8484480c1937cf9da04a5,
title = "Synthetic aperture radar autofocus via semidefinite relaxation",
abstract = "Synthetic Aperture Radar (SAR) imaging can suffer from image focus degradation due to unknown platform or target motion. Autofocus algorithms use signal processing techniques to remove the undesired phase errors. The recently proposed multichannel autofocus models formulate the problem as the solution to Aejφ ≈ 0, where A is a given matrix and φ are the unknown phases. Previous methods approximated ejφ using the null vector of A. We propose to approximate ejφ using conic optimization and call this new autofocus algorithm Semidefinite Relaxation Autofocus (SDRA). Experimental results using a simulated SAR image shows that SDRA has promising performance advantages over existing autofocus methods.",
keywords = "Autofocus, Fourier-domain multichannel autofocus, Semidefinite relaxation, Synthetic aperture radar, Wide-angle SAR",
author = "Liu, {Kuang Hung} and Ami Wiesel and Munson, {David C.}",
year = "2010",
doi = "10.1109/ICASSP.2010.5495441",
language = "אנגלית",
isbn = "9781424442966",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1342--1345",
booktitle = "2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Proceedings",
address = "ארצות הברית",
note = "2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 ; Conference date: 14-03-2010 Through 19-03-2010",
}