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Roles of Equalization in Radar Imaging: Modeling for Superesolution in 3D Reconstruction

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Executive Summary

In radar imaging, resolution is generally dictated by its corresponding system point spread function, the response to a point source as a result of an external excitation. This notion of resolution turns out to be rather questionable, as the interpretation of echoes received from a range of continuous targets according to a linear model allows one to cast the imaging problem as a communication system that maps the target reflectivity function onto measurements, which in turn suggests that by virtue of sampling and equalization, one can achieve unlimited spatial resolution. This paper reviews the fundamental problem inherent to pulse compression in a multi-static Multi-Input-Multi-Output (MIMO) scenario, from a communications viewpoint, in both focused and un-focused scenarios.

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