159 citations · 964 across the 27 of their papers we have counts for
29 papers
Adaptive Radar Detection in joint Range and Azimuth based on the Hierarchical Latent Variable Model
Linjie Yan, Chengpeng Hao, Sudan Han +3
This paper focuses on the design of a robust decision scheme capable of operating in target-rich scenarios with unknown signal signatures (including their range positions, angles o…
Multiple Sub-Pixel Target Detection for Hyperspectral Imaging Systems
Pia Addabbo, Nicomino Fiscante, Gaetano Giunta +3
Hyperspectral target detection is a task of primary importance in remote sensing since it allows identification, location, and discrimination of target features. To this end, the r…
Innovative Cognitive Approaches for Joint Radar Clutter Classification and Multiple Target Detection in Heterogeneous Environments
Linjie Yan, Sudan Han, Chengpeng Hao +2
The joint adaptive detection of multiple point-like targets in scenarios characterized by different clutter types is still an open problem in the radar community. In this paper, we…
A Unified Theory of Adaptive Subspace Detection. Part II: Numerical Examples
Pia Addabbo, Danilo Orlando, Giuseppe Ricci +1
This paper is devoted to the performance analysis of the detectors proposed in the companion paper where a comprehensive design framework is presented for the adaptive detection of…
Clutter Edges Detection Algorithms for Structured Clutter Covariance Matrices
Tianqi Wang, Da Xu, Chengpeng Hao +2
This letter deals with the problem of clutter edge detection and localization in training data. To this end, the problem is formulated as a binary hypothesis test assuming that the…
Adaptive Radar Detection in Heterogeneous Clutter-dominated Environments
Angelo Coluccia, Danilo Orlando, Giuseppe Ricci
In this paper, we propose a new solution for the detection problem of a coherent target in heterogeneous environments. Specifically, we first assume that clutter returns from diffe…
A Unified Theory of Adaptive Subspace Detection. Part I: Detector Designs
Danilo Orlando, Giuseppe Ricci, Louis L. Scharf
This paper addresses the problem of detecting multidimensional subspace signals, which model range-spread targets, in noise of unknown covariance. It is assumed that a primary chan…
EM-based Solutions for Covariance Structure Detection and Classification in Polarimetric SAR Images
Pia Addabbo, Filippo Biondi, Carmine Clemente +3
This paper addresses the challenge of classifying polarimetric SAR images by leveraging the peculiar characteristics of the polarimetric covariance matrix (PCM). To this end, a gen…
Design and Experimental Assessment of Detection Schemes for Air Interface Attacks in Adverse Scenarios
Danilo Orlando, Ivan Palamà, Stefania Bartoletti +2
In this letter, we propose three schemes designed to detect attacks over the air interface in cellular networks. These decision rules rely on the generalized likelihood ratio test,…
Anomaly Detection Algorithms for Location Security in 5G Scenarios
Stefania Bartoletti, Ivan Palamà, Danilo Orlando +2
Location based services are expected to play a major role in future generation cellular networks, starting from the incoming 5G systems. At the same time, localization technologies…
Adaptive Detection of Dim Maneuvering Targets in Adjacent Range Cells
Sheng Yan, Pia Addabbo, Chengpeng Hao +1
This letter addresses the detection problem of dim maneuvering targets in the presence of range cell migration. Specifically, it is assumed that the moving target can appear in mor…
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…
Adaptive Radar Detection of Dim Moving Targets in Presence of Range Migration
Pia Addabbo, Danilo Orlando, Giuseppe Ricci
This paper addresses adaptive radar detection of dim moving targets. To circumvent range migration, the detection problem is formulated as a multiple hypothesis test and solved app…
Adaptive Detection of Coherent Radar Targets in the Presence of Noise Jamming
Pia Addabbo, Olivier Besson, Danilo Orlando +1
In this paper, we devise adaptive decision schemes to detect targets competing against clutter and smart noise-like jammers (NLJ) which illuminate the radar system from the sidelob…
New ECCM Techniques Against Noise-like and/or Coherent Interferers
Linjie Yan, Pia Addabbo, Chengpeng Hao +2
Multiple-stage adaptive architectures are conceived to face with the problem of target detection buried in noise, clutter, and intentional interference. First, a scenario where the…
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…