Bistatic synthetic aperture radar imaging for arbitrary trajectories in the presence of noise and clutter

We present an analytic, filtered-backprojection (FBP) type inversion method for bistatic synthetic aperture radar (BISAR) when the measurements have been corrupted by noise and clutter. The inversion method uses microlocal analysis in a statistical setting to design a backprojection filter that reduces the impact of noise and clutter while preserving the fidelity of the target image. We assume an isotropic single scattering model for the electromagnetic radiation that illuminates the scene of interest. We assume a priori statistical information on the target, clutter and noise. We demonstrate the performance of the algorithm and its ability to better resolve targets through numerical simulations.

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