Details
| Original language | English |
|---|---|
| Title of host publication | 2019 20th International Radar Symposium (IRS) |
| Subtitle of host publication | Proceedings |
| Editors | Peter Knott |
| Publisher | IEEE Computer Society |
| Number of pages | 10 |
| ISBN (electronic) | 978-3-7369-9860-5 |
| ISBN (print) | 978-1-7281-0421-8 |
| Publication status | Published - 2019 |
| Event | 20th International Radar Symposium, IRS 2019 - Ulm, Germany Duration: 26 Jun 2019 → 28 Jun 2019 |
Publication series
| Name | Proceedings International Radar Symposium |
|---|---|
| ISSN (Print) | 2155-5745 |
| ISSN (electronic) | 2155-5753 |
Abstract
We propose an extension of the backprojection autofocus approach to reconstruct synthetic aperture radar images with high quality from extreme coarsely measured flight paths. Usually, expensive and heavy inertial navigation systems are used to measure flight paths with high precision. Small antenna position errors up to approximately one half of the range resolution can be corrected by state-of-the-art autofocus techniques. Our approach is able to correct position errors much larger than this upper bound. For this purpose, we use the idea of the backprojection autofocus by Ash and estimate pulse-by-pulse phase errors by maximizing image sharpness. In contrast to Ash, we use additionally the estimated phase error of each considered pulse to update the aperture positions of all subsequent pulses. The evaluation of our autofocus technique using real airborne X-band data acquired in spotmode shows that the proposed method can correct antenna position errors of more than 12 m. Thus, our algorithm allows the usage of much cheaper or even no inertial navigation systems.
ASJC Scopus subject areas
- Computer Science(all)
- Computer Networks and Communications
- Computer Science(all)
- Computer Science Applications
- Computer Science(all)
- Signal Processing
- Engineering(all)
- Electrical and Electronic Engineering
- Physics and Astronomy(all)
- Astronomy and Astrophysics
- Physics and Astronomy(all)
- Instrumentation
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2019 20th International Radar Symposium (IRS): Proceedings. ed. / Peter Knott. IEEE Computer Society, 2019. (Proceedings International Radar Symposium).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Image Reconstruction without an Inertial Navigation System using Backprojection Autofocus for Synthetic Aperture Radar
AU - Sommer, Aron
AU - Ostermann, Jörn
N1 - Funding Information: This project was co-funded by the European Regional Development Fund ( FEDER ), through the Portugal-2020 program (PT2020), under the Centre’s Regional Operational Program ( CENTRO-01-0145-FEDER-028699 ), and by the Portuguese Foundation for Science and Technology / MCTES through national funds ( PIDDAC ). Stephanie Alves and Fabiana Monteiro were supported by a doctoral grant from the Portuguese Foundation for Science and Technology ( SFRH/BD/102717/2014 and SFRH/BD/115585/2016 , respectively).
PY - 2019
Y1 - 2019
N2 - We propose an extension of the backprojection autofocus approach to reconstruct synthetic aperture radar images with high quality from extreme coarsely measured flight paths. Usually, expensive and heavy inertial navigation systems are used to measure flight paths with high precision. Small antenna position errors up to approximately one half of the range resolution can be corrected by state-of-the-art autofocus techniques. Our approach is able to correct position errors much larger than this upper bound. For this purpose, we use the idea of the backprojection autofocus by Ash and estimate pulse-by-pulse phase errors by maximizing image sharpness. In contrast to Ash, we use additionally the estimated phase error of each considered pulse to update the aperture positions of all subsequent pulses. The evaluation of our autofocus technique using real airborne X-band data acquired in spotmode shows that the proposed method can correct antenna position errors of more than 12 m. Thus, our algorithm allows the usage of much cheaper or even no inertial navigation systems.
AB - We propose an extension of the backprojection autofocus approach to reconstruct synthetic aperture radar images with high quality from extreme coarsely measured flight paths. Usually, expensive and heavy inertial navigation systems are used to measure flight paths with high precision. Small antenna position errors up to approximately one half of the range resolution can be corrected by state-of-the-art autofocus techniques. Our approach is able to correct position errors much larger than this upper bound. For this purpose, we use the idea of the backprojection autofocus by Ash and estimate pulse-by-pulse phase errors by maximizing image sharpness. In contrast to Ash, we use additionally the estimated phase error of each considered pulse to update the aperture positions of all subsequent pulses. The evaluation of our autofocus technique using real airborne X-band data acquired in spotmode shows that the proposed method can correct antenna position errors of more than 12 m. Thus, our algorithm allows the usage of much cheaper or even no inertial navigation systems.
UR - http://www.scopus.com/inward/record.url?scp=85069940395&partnerID=8YFLogxK
U2 - 10.23919/irs.2019.8767455
DO - 10.23919/irs.2019.8767455
M3 - Conference contribution
AN - SCOPUS:85069940395
SN - 978-1-7281-0421-8
T3 - Proceedings International Radar Symposium
BT - 2019 20th International Radar Symposium (IRS)
A2 - Knott, Peter
PB - IEEE Computer Society
T2 - 20th International Radar Symposium, IRS 2019
Y2 - 26 June 2019 through 28 June 2019
ER -