Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | EUSAR 2018 |
| Untertitel | 12th European Conference on Synthetic Aperture Radar, Proceedings |
| Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers Inc. |
| Seiten | 1296-1301 |
| Seitenumfang | 6 |
| ISBN (elektronisch) | 9783800746361 |
| Publikationsstatus | Veröffentlicht - 2018 |
| Veranstaltung | 12th European Conference on Synthetic Aperture Radar, EUSAR 2018 - Aachen, Deutschland Dauer: 4 Juni 2018 → 7 Juni 2018 |
Publikationsreihe
| Name | Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR |
|---|---|
| Band | 2018-June |
| ISSN (Print) | 2197-4403 |
Abstract
The accuracy of the trajectory and velocity estimation of moving objects, like cars and ships, in synthetic aperture radar (SAR) images using ground moving target indication (GMTI) techniques is limited. Most algorithm estimate a constant velocity over a short coherent processing interval (CPI), despite the fact that object motion is in general non-linear. We formulate a signal model including non-linear object motion and propose a direct trajectory estimation algorithm. Our algorithm uses the robust displayed phase center antenna (DPCA) technique to suppress the clutter. It basically compares two DPCA images to estimate a smooth object motion by a regularization method. We apply the technique to simulated data to show that the estimation of a non-linear movement of an object with a certain size can be done by the proposed algorithm.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Signalverarbeitung
- Physik und Astronomie (insg.)
- Instrumentierung
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- BibTex
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EUSAR 2018: 12th European Conference on Synthetic Aperture Radar, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. S. 1296-1301 (Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR; Band 2018-June).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Direct Trajectory Estimation of Non-Linear Moving Objects
AU - Sommer, Aron
AU - Ostermann, Jörn
N1 - Publisher Copyright: © VDE VERLAG GMBH  Berlin  Offenbach. Copyright: Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2018
Y1 - 2018
N2 - The accuracy of the trajectory and velocity estimation of moving objects, like cars and ships, in synthetic aperture radar (SAR) images using ground moving target indication (GMTI) techniques is limited. Most algorithm estimate a constant velocity over a short coherent processing interval (CPI), despite the fact that object motion is in general non-linear. We formulate a signal model including non-linear object motion and propose a direct trajectory estimation algorithm. Our algorithm uses the robust displayed phase center antenna (DPCA) technique to suppress the clutter. It basically compares two DPCA images to estimate a smooth object motion by a regularization method. We apply the technique to simulated data to show that the estimation of a non-linear movement of an object with a certain size can be done by the proposed algorithm.
AB - The accuracy of the trajectory and velocity estimation of moving objects, like cars and ships, in synthetic aperture radar (SAR) images using ground moving target indication (GMTI) techniques is limited. Most algorithm estimate a constant velocity over a short coherent processing interval (CPI), despite the fact that object motion is in general non-linear. We formulate a signal model including non-linear object motion and propose a direct trajectory estimation algorithm. Our algorithm uses the robust displayed phase center antenna (DPCA) technique to suppress the clutter. It basically compares two DPCA images to estimate a smooth object motion by a regularization method. We apply the technique to simulated data to show that the estimation of a non-linear movement of an object with a certain size can be done by the proposed algorithm.
UR - http://www.scopus.com/inward/record.url?scp=85050504298&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85050504298
T3 - Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR
SP - 1296
EP - 1301
BT - EUSAR 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 12th European Conference on Synthetic Aperture Radar, EUSAR 2018
Y2 - 4 June 2018 through 7 June 2018
ER -