For decades, radar sampling was constrained to the Nyquist theorem. Recently, new research has provided techniques to sample short-time pulses in sub-Nyquist rates, and to reconstruct them in efficient robust ways. Our project studies the existing techniques and further improves them to achieve both noise robustness and estimation accuracy.
Xampling of Radar Signals
Wideband signals can be sampled at rates much lower than their Nyquist rate, given that they have a Finite Rate of Innovation [1,2,3]. Radar signals with a limited number of targets, are FRI signals with the distances and cross sections (RCS) as unknowns. Using our innovative technique, we are able to reconstruct the distances and the cross sections while reducing the sampling rate by a factor of approximately 30 compared to classical Nyquist-based approaches.