Exact reverse backprojection for SAR raw data generation of natural scenes

None, None; None, None; None, None; None, None; None, None; None, None; None, None

Exact reverse backprojection for SAR raw data generation of natural scenes

Conference Paper (2016)

Author(s)

Dexin Li (Technische Universität München)

Marc Rodriguez-Cassola (Deutsches Zentrum für Luft- und Raumfahrt (DLR))

Pau Prats-Iraola (Deutsches Zentrum für Luft- und Raumfahrt (DLR))

Paco Lopez-Dekker (Deutsches Zentrum für Luft- und Raumfahrt (DLR))

Manqing Wu (National University of Defense Technology)

Jurgen Detlefsen (Technische Universität München)

Alberto Moreira (Deutsches Zentrum für Luft- und Raumfahrt (DLR))

Synthetic Aperture Radar (SAR) Backprojection Geosynchronous SAR Raw data simulation

DOI related publication

https://doi.org/10.1109/IGARSS.2016.7729843 Final published version

To reference this document use

https://resolver.tudelft.nl/uuid:f99ef974-cb4f-4f45-b622-5442393814d8

More Info

expand_more

Publication Year

2016

Language

English

Volume number

2016-November

Article number

7729843

Pages (from-to)

3258-3261

ISBN (electronic)

9781509033324

Event

Downloads counter

155

Abstract

This paper puts forward a reverse backprojection algorithm for the moderately efficient generation of raw data of natural scenes acquired with general SAR geometries; in particular, we are interested in monostatic and bistatic geosynchronous (GSO) geometries. The backprojection algorithm has the advantage of being arbitrarily precise for all acquisition modes and systems, and allows an exact accommodation of space-variant effects introduced by topography and the propagation through the atmosphere. Its exactness allows both to simulate any real scenarios and understand further optimization potentials. The reverse backprojection algorithm is presented and analyzed in the following pages. The algorithm is also validated using both simulated clutter and data from the Sentinel-1 mission.