Nonlinear Array Processing

This report describes a theoretical and experimental study of a nonlinear array processing framework for sparse arrays that is based on using the differencecoarray as a virtual uniform (Nyquist) array. The framework offers the potential to significantly increase the available degrees of freedom of a sparse array and therefore can lead to improved spatial source estimation and/or mitigation. The study examines the feasibility of incorporating such an approach as well as the underlying algorithms capable of exploiting such gains within a conventional monostatic radar system. Validation of the presented concepts is conducted through a 12 channel 3.4 GHz experimental testbed.