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Fast Raw Data Generation of Realistic Environments for a SAR System Simulator

Abstract : This thesis concerns efficient SAR raw data simulation making use of inverse raw data processing. For this purpose, the Omega-k and Chirp Scaling algorithms are inversed to generate raw data for an ideal sensor trajectory. Raw data simulation corresponding to a moving object is also shown to be a modified form of these two dimensional frequency domain simulation algorithms. The case of sensor trajectory errors is considered next and it is demonstrated that this process can be carried out partially in the time domain by making narrow-beamwidth and narrow-bandwidth approximations. These approximations are analyzed, alongwith examples for a point scatterer to check the accuracy of the simulated data compared to those generated by a reference time domain simulator. Finally, these techniques are applied to generate raw data for a complex scene, consisting of a single or multiple buildings placed on a rough ground. The anisotropic nature of the building response is also taken into account, besides introducing interferometric image and raw data simulation.
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Contributor : Joelle Drouet <>
Submitted on : Tuesday, March 31, 2009 - 9:48:28 AM
Last modification on : Wednesday, October 14, 2020 - 3:53:53 AM
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  • HAL Id : tel-00371992, version 1


Shaharyar Khwaja. Fast Raw Data Generation of Realistic Environments for a SAR System Simulator. Signal and Image processing. Université Rennes 1, 2008. English. ⟨tel-00371992⟩



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