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.