A Sparse Learning Approach to the Design of Radar Tunable Architectures with Enhanced Selectivity Properties

Sudan Han, Luca Pallotta, Xiaotao Huang +2

This paper considers the design of tunable decision schemes capable of rejecting with high probability mismatched signals embedded in Gaussian interference with unknown covariance…