Optimization and waveforms for compressive sensing applications in the presence of interference

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 of some reconstruction methods indicate that useful products can often be obtained using these methods for circumstances outside the usual conditions.