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A Bistatic SAR Raw Data Simulator Based on Inverse ω-k Algorithm
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DOI：10.1109/TGRS.2009.2032776.png)
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Abstract
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A synthetic aperture radar (SAR) raw data simulator is an important tool for testing the system parameters and the imaging algorithms. In this paper, a scene raw data simulator based on an inverse omega-k algorithm for bistatic SAR of a translational invariant case is proposed. The differences between simulations of monostatic and bistatic SAR are also described. The algorithm proposed has high precision and can be used in long-baseline configuration and for single-pass interferometry. Implementation details are described, and plenty of simulation results are provided to validate the algorithm.
Keywords:
Bistatic synthetic aperture radar (SAR)
raw data simulation
omega-k algorithm
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