215 citations · 744 across the 18 of their papers we have counts for
18 papers
Radar Network Waveform Design for Target Tracking
Tao Fan, Augusto Aubry, Antonio De Maio +3
This paper addresses the synthesis of slow-time coded waveforms for single target tracking in a radar network operating under colored Gaussian interference. Based on the Posterior…
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…
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…
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…
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…
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…
A Learning-Inspired Strategy to Design Binary Sequences with Good Correlation Properties: SISO and MIMO Radar Systems
Omid Rezaei, Mahdi Ahmadi, Mohammad Mahdi Naghsh +3
In this paper, the design of binary sequences exhibiting low values of aperiodic/periodic correlation functions, in terms of Integrated Sidelobe Level (ISL), is pursued via a learn…
Large Deviations for Classification Performance Analysis of Machine Learning Systems
Paolo Braca, Leonardo M. Millefiori, Augusto Aubry +2
We study the performance of machine learning binary classification techniques in terms of error probabilities. The statistical test is based on the Data-Driven Decision Function (D…
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…
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…
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…
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…
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…
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…
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…
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…
Rician MIMO Channel- and Jamming-Aware Decision Fusion
D. Ciuonzo, A. Aubry, V. Carotenuto
In this manuscript we study channel-aware decision fusion (DF) in a wireless sensor network (WSN) where: (i) the sensors transmit their decisions simultaneously for spectral effici…
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…