Compressive Processing for Phased Array Characterization and Direction Finding

Recent advances of compressive processing (CP) techniques as applied to phased array measurement and direction of arrival (DoA) estimation are presented. Thanks to the CP paradigm, a-priori information on the antenna under test (AUT) can be successfully exploited to mitigate the truncation error in near-field (NF) antenna measurements exploiting a very limited number of measurements. Moreover, Bayesian compressive sensing (BCS) formulations allow to bypass current limitations of standard CS approaches, as well as an easier integration with multi-resolution strategies towards a computationally-efficient and robust DoA estimation. Some numerical results are presented to verify the effectiveness and potentialities of the proposed CP methods.