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The effect of motion measurement errors (MMEs) on measured bistatic synthetic aperture radar (SAR) phase history data that has been motion compensated to the scene origin is discussed. By deriving limits on the allowable MMEs to be used as system specifications, it is demonstrated that proper orientation of a bistatic SAR image during image formation process allows application of monostatic SAR autofocus algorithms in postprocessing to mitigate image defocus.

Physics-based parametric radar scattering models help in estimating attributes of scattering centers, which in turn help in analyzing synthetic aperture radar data for automatic target recognition. The geometrical theory of diffraction is used to predict the scattering parameters. Scattering geometry, polarization response, aspect-dependent amplitude taper and location are the main estimated attributes. A least square algorithm for feature estimation and a statistical analysis of the scattering model are described. Two reduced complexity scattering models are discussed.

This paper discusses reconstruction of three-dimensional surfaces from multiple bistatic synthetic aperture radar (SAR) images. Techniques for surface reconstruction from multiple monostatic SAR images already exist, including interferometric processing and stereo SAR. We generalize these methods to obtain algorithms for bistatic interferometric SAR and bistatic stereo SAR. We also propose a framework for predicting the performance of our multistatic stereo SAR algorithm, and, from this framework, we suggest a metric for use in planning strategic deployment of multistatic assets. [ABSTRACT FROM AUTHOR]