The relatively new field of Compressive Sensing has the promise of enabling Radar systems that use less power and less memory. Much of the recent research has concentrated on those issues. However, our interests are primarily in a flexible Radar system that can use one waveform for distant targets and different waveforms for precise location of nearby targets. For most applications, we require very low false alarm rates and high probabilities of detection. When Compressive Sensing is used, these quantities may be evaluated using phase transition diagrams. Of particular interest is the potential for Compressive Sensing to enable better filtering of interference from the ground, atmospheric effects, and the like. This opportunity would likely involve theoretical design work that took into account capabilities of current hardware. These designs might then be tested by numerical situations, possibly using Monte Carlo methods. However, a more hardware oriented approach might also be possible.
Shastry MC, et al, Mallat: "Compressive Radar Imaging Using White Stochast Waveforms," 5th IEEE International Conference on Waveform Diversity and Design, Niagra Falls, ON, Canada, August 2010
Smith JG, et al: Compressed Sampling for Pulse Dppler Radar, IEEE Radar Conference 2010, May 10-14, 2010
Signal processing; Comprehensive sensing; Pulse Doppler radar; Waveform design; Radar; High resolution radar; Stochastic noise waveform; Reduced sampling rate;