activity
20212025
most citedReconfigurable Intelligent Surfaces for N-LOS Radar Surveillance

137 citations · 233 across the 7 of their papers we have counts for

collaborators

7 papers

eess.SP2025

Exploiting Cognition in ISAR Processing for Spectral Compatibility Applications

Massimo Rosamilia, Augusto Aubry, Alessio Balleri +2

This paper introduces and analyzes the concept of a cognitive inverse synthetic aperture radar (ISAR) ensuring spectral compatibility in crowded electromagnetic environments. In su…

eess.SP2025★ 2 cited

Cognitive Non-Coherent Jamming Techniques for Frequency Selective Attacks

Massimo Rosamilia, Augusto Aubry, Vincenzo Carotenuto +1

This paper deals with the design of non-coherent jamming strategies capable of ensuring spectral compatibility with friendly radio frequency (RF) emitters. The goal is achieved via…

eess.SP2023★ 20 cited

New Methods for MLE of Toeplitz Structured Covariance Matrices with Applications to RADAR Problems

Augusto Aubry, Prabhu Babu, Antonio De Maio +1

This work considers Maximum Likelihood Estimation (MLE) of a Toeplitz structured covariance matrix. In this regard, an equivalent reformulation of the MLE problem is introduced and…

eess.SP2022★ 37 cited

Adaptive Radar Detection and Bearing Estimation in the Presence of Unknown Mutual Coupling

Augusto Aubry, Antonio De Maio, Lan Lan +1

This paper deals with joint adaptive radar detection and target bearing estimation in the presence of mutual coupling among the array elements. First of all, a suitable model of th…

eess.SP2021

New Methods for MLE of Toeplitz Structured Covariance Matrices with Applications to RADAR Problems

Augusto Aubry, Prabhu Babu, Antonio De Maio +1

This work considers Maximum Likelihood Estimation (MLE) of a Toeplitz structured covariance matrix. In this regard, an equivalent reformulation of the MLE problem is introduced and…

eess.SP2021★ 37 cited

Structured Covariance Matrix Estimation with Missing-Data for Radar Applications via Expectation-Maximization

Augusto Aubry, Antonio De Maio, Stefano Marano +1

Structured covariance matrix estimation in the presence of missing data is addressed in this paper with emphasis on radar signal processing applications. After a motivation of the…

eess.SP2021★ 137 cited

Reconfigurable Intelligent Surfaces for N-LOS Radar Surveillance

Augusto Aubry, Antonio De Maio, Massimo Rosamilia

This paper deals with the use of Reconfigurable Intelligent Surfaces (RISs) for radar surveillance in Non-Line Of Sight (N-LOS) scenarios. First of all, the geometry of the scene a…