Exact reverse backprojection for SAR raw data generation of natural scenes

Conference paper (2016)

Authors

Dexin Li Technische Universität München
Marc Rodriguez-Cassola Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR)
Pau Prats-Iraola Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR)
Paco López-Dekker Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR)
Manqing Wu National University of Defense Technology
Jurgen Detlefsen Technische Universität München
Alberto Moreira Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR)
Affiliation
External organisation
Synthetic Aperture Radar (SAR) Backprojection Geosynchronous SAR Raw data simulation
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Published Date

01-11-2016

Language

English

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Affiliation

External organisation

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.