159 citations · 964 across the 27 of their papers we have counts for
9 papers · 1 filter
Adaptive Radar Detection and Classification Algorithms for Multiple Coherent Signals
Sudan Han, Linjie Yan, Yuxuan Zhang +3
In this paper, we address the problem of target detection in the presence of coherent (or fully correlated) signals, which can be due to multipath propagation effects or electronic…
Geostationary Real-Time 3D Polarimetric RADAR Imaging by Orbital Angular Momentum Interferometry and Multi-Chromatic Analysis
Filippo Biondi, Pia Addabbo, Carmine Clemente +2
We design the proof of concept for high-resolution (HR) real-time (RT), Geosynchronous and Geostationary (Geo) Polarimetric (Pol) using orbital angular momentum (OAM) interferometr…
Novel Parameter Estimation and Radar Detection Approaches for Multiple Point-like Targets: Designs and Comparisons
Pia Addabbo, Jun Liu, Danilo Orlando +1
In this work, we develop and compare two innovative strategies for parameter estimation and radar detection of multiple point-like targets. The first strategy, which appears here f…
Radar Adaptive Detection Architectures for Heterogeneous Environments
Jun Liu, Davide Massaro, Danilo Orlando +1
In this paper, four adaptive radar architectures for target detection in heterogeneous Gaussian environments are devised. The first architecture relies on a cyclic optimization exp…
Monitoring of Critical Infrastructures by Micro-Motion Estimation: the Mosul Dam Destabilization
Filippo Biondi, Pia Addabbo, Carmine Clemente +2
In this paper, authors propose a new procedure to provide a tool for monitoring critical infrastructures. Particularly, through the analysis of COSMO-SkyMed satellite data, a detai…
A Unifying Framework for Adaptive Radar Detection in the Presence of Multiple Alternative Hypotheses
Pia Addabbo, Sudan Han, Fillippo Biondi +2
In this paper, we develop a new elegant framework relying on the Kullback-Leibler Information Criterion to address the design of one-stage adaptive detection architectures for mult…
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…
A Sparse Learning Approach to the Detection of Multiple Noise-Like Jammers
Linjie Yan, Pia Addabbo, Yuxuan Zhang +4
In this paper, we address the problem of detecting multiple Noise-Like Jammers (NLJs) through a radar system equipped with an array of sensors. To this end, we develop an elegant a…
Learning Strategies for Radar Clutter Classification
Pia Addabbo, Sudan Han, Danilo Orlando +1
In this paper, we address the problem of classifying clutter returns in order to partition them into statistically homogeneous subsets. The classification procedure relies on a mod…