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Compressive sensing concepts have potential applications to multiple RADAR problems, which include moving target indication, and RADAR imaging in two and three spatial dimensions. Currently known sufficient conditions for reliable sparse signal reconstruction do not seem to be directly applicable or practical for some traditional RADAR problems. But experiments and mathematical invariance properties...
In this paper, we describe a model-based, non-linear reconstruction method for mapping internal building structures using through-wall radar data. We based the model on canonical geometry constructs that are commonly used in construction practices. These constructs are then formulated as sets of simple scattering mechanisms, which can be estimated from the data. Our non-linear approach employs an...
In this paper we describe a methodology of jointly designing waveforms for a semi-cooperative, distributed radar system. Some radars have waveforms which are fixed and cannot adapt. The remainder of the group must optimize their emanations conditioned on the existence of the non-cooperative radars. We term this 'conditional joint optimization.' A special case is termed constrained joint optimization...
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