activity
20142025
most citedA Geometric Approach to Covariance Matrix Estimation and its Applications to Radar Problems

123 citations · 187 across the 7 of their papers we have counts for

collaborators

7 papers

eess.SP2025

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…

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.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.SP2020

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…

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…

cs.IT2016★ 50 cited

On the Maximal Invariant Statistic for Adaptive Radar Detection in Partially-Homogeneous Disturbance with Persymmetric Covariance

D. Ciuonzo, D. Orlando, L. Pallotta

This letter deals with the problem of adaptive signal detection in partially-homogeneous and persymmetric Gaussian disturbance within the framework of invariance theory. First, a s…

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…