A fast autofocus algorithm for synthetic aperture radar processing

Jørgen Dall

doi:10.1109/ICASSP.1992.226290

A fast autofocus algorithm for synthetic aperture radar processing

Jørgen Dall

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Abstract

High-resolution synthetic aperture radar (SAR) imaging requires the motion of the radar platform to be known very accurately. Otherwise, phase errors are induced in the processing of the raw SAR data, and bad focusing results. In particular, a constant error in the measured along-track velocity or the cross-track acceleration leads to a phase error that varies quadratically over the synthetic aperture. The process of estimating this quadratic phase error directly from the radar data is termed autofocus. A novel autofocus algorithm with a computational complexity which is at least an order of magnitude lower than that of other algorithms providing comparable accuracies is presented. The algorithm has been tested on data from the Danish Airborne SAR, and the performance is compared with that of the traditional map drift algorithm

Original language	English
Journal	I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings
Volume	3
Pages (from-to)	5 - 8
ISSN	1520-6149
DOIs	https://doi.org/10.1109/ICASSP.1992.226290
Publication status	Published - 1992
Event	1992 IEEE International Conference on Acoustics, Speech, and Signal Processing - San Francisco, United States Duration: 23 Mar 1992 → 26 Mar 1992 Conference number: 17

Conference

Conference	1992 IEEE International Conference on Acoustics, Speech, and Signal Processing
Number	17
Country/Territory	United States
City	San Francisco
Period	23/03/1992 → 26/03/1992

Bibliographical note

Copyright: 1992 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

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title = "A fast autofocus algorithm for synthetic aperture radar processing",

abstract = "High-resolution synthetic aperture radar (SAR) imaging requires the motion of the radar platform to be known very accurately. Otherwise, phase errors are induced in the processing of the raw SAR data, and bad focusing results. In particular, a constant error in the measured along-track velocity or the cross-track acceleration leads to a phase error that varies quadratically over the synthetic aperture. The process of estimating this quadratic phase error directly from the radar data is termed autofocus. A novel autofocus algorithm with a computational complexity which is at least an order of magnitude lower than that of other algorithms providing comparable accuracies is presented. The algorithm has been tested on data from the Danish Airborne SAR, and the performance is compared with that of the traditional map drift algorithm",

author = "J{\o}rgen Dall",

note = "Copyright: 1992 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE; 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '92 ; Conference date: 23-03-1992 Through 26-03-1992",

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AU - Dall, Jørgen

N1 - Conference code: 17

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N2 - High-resolution synthetic aperture radar (SAR) imaging requires the motion of the radar platform to be known very accurately. Otherwise, phase errors are induced in the processing of the raw SAR data, and bad focusing results. In particular, a constant error in the measured along-track velocity or the cross-track acceleration leads to a phase error that varies quadratically over the synthetic aperture. The process of estimating this quadratic phase error directly from the radar data is termed autofocus. A novel autofocus algorithm with a computational complexity which is at least an order of magnitude lower than that of other algorithms providing comparable accuracies is presented. The algorithm has been tested on data from the Danish Airborne SAR, and the performance is compared with that of the traditional map drift algorithm

AB - High-resolution synthetic aperture radar (SAR) imaging requires the motion of the radar platform to be known very accurately. Otherwise, phase errors are induced in the processing of the raw SAR data, and bad focusing results. In particular, a constant error in the measured along-track velocity or the cross-track acceleration leads to a phase error that varies quadratically over the synthetic aperture. The process of estimating this quadratic phase error directly from the radar data is termed autofocus. A novel autofocus algorithm with a computational complexity which is at least an order of magnitude lower than that of other algorithms providing comparable accuracies is presented. The algorithm has been tested on data from the Danish Airborne SAR, and the performance is compared with that of the traditional map drift algorithm

U2 - 10.1109/ICASSP.1992.226290

DO - 10.1109/ICASSP.1992.226290

M3 - Conference article

SN - 1520-6149

VL - 3

SP - 5

EP - 8

JO - I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings

JF - I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings

T2 - 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing

Y2 - 23 March 1992 through 26 March 1992

ER -

A fast autofocus algorithm for synthetic aperture radar processing

Abstract

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