activity
20082025
most citedA Unifying Framework for Adaptive Radar Detection in Homogeneous plus Structured Interference-Part II: Detectors Design

159 citations · 1.1k across the 23 of their papers we have counts for

collaborators

23 papers

eess.SP2025★ 4 cited

Covariance Symmetries Classification in Multitemporal/Multipass PolSAR Images

Dehbia Hanis, Luca Pallotta, Augusto Aubry +2

A polarimetric synthetic aperture radar (PolSAR) system, which uses multiple images acquired with different polarizations in both transmission and reception, has the potential to i…

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.SP2025★ 7 cited

Radar Code Design for the Joint Optimization of Detection Performance and Measurement Accuracy in Track Maintenance

Tao Fan, Augusto Aubry, Vincenzo Carotenuto +3

This paper deals with the design of slow-time coded waveforms which jointly optimize the detection probability and the measurements accuracy for track maintenance in the presence o…

eess.SP2023

3D Localization and Tracking Methods for Multi-Platform Radar Networks

Angela Marino, Giovanni Soldi, Domenico Gaglione +4

Multi-platform radar networks (MPRNs) are an emerging sensing technology due to their ability to provide improved surveillance capabilities over plain monostatic and bistatic syste…

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.SP2023★ 9 cited

Power-Aperture Resource Allocation for a MPAR with Communications Capabilities

Augusto Aubry, Antonio De Maio, Luca Pallotta

Multifunction phased array radars (MPARs) exploit the intrinsic flexibility of their active electronically steered array (ESA) to perform, at the same time, a multitude of operatio…

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…

stat.ML2022★ 16 cited

Statistical Hypothesis Testing Based on Machine Learning: Large Deviations Analysis

Paolo Braca, Leonardo M. Millefiori, Augusto Aubry +3

We study the performance -- and specifically the rate at which the error probability converges to zero -- of Machine Learning (ML) classification techniques. Leveraging the theory…

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★ 107 cited

Multi-Spectrally Constrained Transceiver Design against Signal-Dependent Interference

Jing Yang, Augusto Aubry, Antonio De Maio +2

This paper focuses on the joint synthesis of constant envelope transmit signal and receive filter aimed at optimizing radar performance in signal-dependent interference and spectra…

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…

eess.SP2021★ 27 cited

Enhanced Target Localization with Deployable Multiplatform Radar Nodes Based on Non-Convex Constrained Least Squares Optimization

Augusto Aubry, Paolo Braca, Antonio De Maio +1

A new algorithm for 3D localization in multiplatform radar networks, comprising one transmitter and multiple receivers, is proposed. To take advantage of the monostatic sensor radi…

stat.AP2017★ 123 cited

A Geometric Approach to Covariance Matrix Estimation and its Applications to Radar Problems

Augusto Aubry, Antonio De Maio, Luca Pallotta

A new class of disturbance covariance matrix estimators for radar signal processing applications is introduced following a geometric paradigm. Each estimator is associated with a g…

math.ST2017★ 24 cited

Model Order Selection Rules For Covariance Structure Classification

V. Carotenuto, A. De Maio, D. Orlando +1

The adaptive classification of the interference covariance matrix structure for radar signal processing applications is addressed in this paper. This represents a key issue because…

cs.IT2016★ 2 cited

A Coordinate-Descent Framework to Design Low PSL/ISL Sequences

M. Alaee, A. Aubry, A. De Maio +2

This paper is focused on the design of phase sequences with good (aperiodic) autocorrelation properties in terms of Peak Sidelobe Level (PSL) and Integrated Sidelobe Level (ISL). T…

stat.AP2015★ 110 cited

Adaptive Detection of Point-like Targets in Spectrally Symmetric Interference

A. De Maio, D. Orlando, C. Hao +1

We address adaptive radar detection of targets embedded in ground clutter dominated environments characterized by a symmetrically structured power spectral density. At the design s…

stat.AP2015★ 82 cited

Adaptive Radar Detection of a Subspace Signal Embedded in Subspace Structured plus Gaussian Interference Via Invariance

Antonio De Maio, Danilo Orlando

This paper deals with adaptive radar detection of a subspace signal competing with two sources of interference. The former is Gaussian with unknown covariance matrix and accounts f…

cs.IT2015★ 159 cited

A Unifying Framework for Adaptive Radar Detection in Homogeneous plus Structured Interference-Part II: Detectors Design

Domenico Ciuonzo, Antonio De Maio, Danilo Orlando

This paper deals with the problem of adaptive multidimensional/multichannel signal detection in homogeneous Gaussian disturbance with unknown covariance matrix and structured (unkn…

cs.IT2015★ 112 cited

A Unifying Framework for Adaptive Radar Detection in Homogeneous plus Structured Interference-Part I: On the Maximal Invariant Statistic

Domenico Ciuonzo, Antonio De Maio, Danilo Orlando

This paper deals with the problem of adaptive multidimensional/multichannel signal detection in homogeneous Gaussian disturbance with unknown covariance matrix and structured deter…

cs.CV2014★ 1 cited

Pseudo-Zernike Based Multi-Pass Automatic Target Recognition From Multi-Channel SAR

Carmine Clemente, Luca Pallotta, Ian Proudler +3

The capability to exploit multiple sources of information is of fundamental importance in a battlefield scenario. Information obtained from different sources, and separated in spac…

cs.IT2009★ 14 cited

Blind user detection in doubly-dispersive DS/CDMA channels

Stefano Buzzi, Luca Venturino, Alessio Zappone +1

In this work, we consider the problem of detecting the presence of a new user in a direct-sequence/code-division-multiple-access (DS/CDMA) system with a doubly-dispersive fading ch…

cs.OH2008★ 73 cited

Diversity-Integration Trade-offs in MIMO Detection

Antonio De Maio, Marco Lops, Luca Venturino

In this work, a MIMO detection problem is considered. At first, we derive the Generalized Likelihood Ratio Test (GLRT) for arbitrary transmitted signals and arbitrary time-correlat…