Gaetano Giunta
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View article: An operatorial view of competition and cooperation in a network of economic agents
An operatorial view of competition and cooperation in a network of economic agents Open
A network of agents interacting both with competitive and/or cooperative mechanisms is modeled by using fermionic ladder operators. The time evolution of the network is assumed to be governed by a Hermitian time-independent Hamiltonian ope…
View article: Effective Lock Detectors Based on Costas Loop Output for SBPSK Mobile Communications
Effective Lock Detectors Based on Costas Loop Output for SBPSK Mobile Communications Open
In this study, we address the problem of lock detection at the output of a Costas loop when robust modulations for bandwidth-constrained military communications are used. In this respect, we propose two novel detectors that share the impor…
View article: EM-based Algorithm for Unsupervised Clustering of Measurements from a Radar Sensor Network
EM-based Algorithm for Unsupervised Clustering of Measurements from a Radar Sensor Network Open
This paper deals with the problem of clustering data returned by a radar sensor network that monitors a region where multiple moving targets are present. The network is formed by nodes with limited functionalities that transmit the estimat…
View article: Enhancements of River Water Level Monitoring Method Using COSMO-SkyMed SAR Images
Enhancements of River Water Level Monitoring Method Using COSMO-SkyMed SAR Images Open
The problem of not having persistent river levels monitoring via satellite remote sensing is of considerable importance because the lack of this capability could affect the safety of inhabited areas near rivers. It has been shown that synt…
View article: A cross‐cross‐correlation based method for joint coregistration of rotated multitemporal synthetic aperture radar images
A cross‐cross‐correlation based method for joint coregistration of rotated multitemporal synthetic aperture radar images Open
Coregistration is among the most important and challenging tasks when dealing with multiple synthetic aperture radar (SAR) images, especially when they are acquired at different time instants and characterised by low signal to noise power …
View article: Sensor Failure Detection for TDOA-based Localization Systems
Sensor Failure Detection for TDOA-based Localization Systems Open
This paper outlines a strategy for identifying sensors in a passive locating system that are not functioning properly. The framework is based on the information extracted from delay estimation errors, obtained from solving a system of equa…
View article: Robust Target Localization for Multistatic Passive Radar Networks
Robust Target Localization for Multistatic Passive Radar Networks Open
Passive multistatic radar networks localize a noncooperative target exploiting the bistatic measurements associated with signals emitted by several transmitters of opportunity and acquired by multiple receivers. However, in realistic scena…
View article: User Localization for Rescue Operations Exploiting the Cross-Cross-Correlations of Signals from Multiple Sensors
User Localization for Rescue Operations Exploiting the Cross-Cross-Correlations of Signals from Multiple Sensors Open
Delay estimation of incoming signals in passive systems is still nowadays at the base of many signal processing applications ranging from passive radars to underwater acoustics, indoor acoustic positioning, and others. This paper aims at i…
View article: Improving Delay Estimation in Underwater Acoustic Applications by the Additional Use of Cross-Cross-Correlation
Improving Delay Estimation in Underwater Acoustic Applications by the Additional Use of Cross-Cross-Correlation Open
Next generation space-terrestrial-ocean integrated mobile networks providing global internet access that extend to the undersea are based on heterogeneous networks. In underwater applications, a key role is played by the acoustic positioni…
View article: Multiple Sub-Pixel Target Detection for Hyperspectral Imaging Systems
Multiple Sub-Pixel Target Detection for Hyperspectral Imaging Systems Open
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 reflectance maps, which contain the spectral signatures and …
View article: Super-Resolution of Synthetic Aperture Radar Complex Data by Deep-Learning
Super-Resolution of Synthetic Aperture Radar Complex Data by Deep-Learning Open
One of the greatest limitations of Synthetic Aperture Radar imagery is the capability to obtain an arbitrarily high spatial resolution. Indeed, despite optical sensors, this capability is not just limited by the sensor technology. Instead,…
View article: Classification Schemes for the Radar Reference Window: Design and Comparisons
Classification Schemes for the Radar Reference Window: Design and Comparisons Open
In this paper, we address the problem of classifying data within the radar\nreference window in terms of statistical properties. Specifically, we partition\nthese data into statistically homogeneous subsets by identifying possible\nclutter…
View article: Multiple Sub-Pixel Target Detection for Hyperspectral Imaging Systems
Multiple Sub-Pixel Target Detection for Hyperspectral Imaging Systems Open
Hyperspectral target detection is a task of primary importance in remote sensing since it allows for location and discrimination of target features. To this end, the reflectance maps, which contain the spectral signatures and related abund…
View article: An Innovative Approach to the Dismantlement of a Forensic Psychiatric Hospital in Italy: A Ten-year Impact Evaluation
An Innovative Approach to the Dismantlement of a Forensic Psychiatric Hospital in Italy: A Ten-year Impact Evaluation Open
Aims: This study aimed to evaluate the impacts of a pilot project concerning the closure of a Forensic Psychiatric Hospital (FPH) inspired by Human Development Theory and the Capability Approach. Background: The dismantlement of the FPH of…
View article: Detecting Sensor Failures in TDOA-Based Passive Radars: A Statistical Approach Based on Outlier Distribution
Detecting Sensor Failures in TDOA-Based Passive Radars: A Statistical Approach Based on Outlier Distribution Open
Non-cooperative target location is accomplished by means of multiple passive radar receivers deployed in the region of interest and that detect the delayed replicas of the signal emitted by the target and estimate the time difference of ar…
View article: A Machine Learning-Based Approach for Audio Signals Classification using Chebychev Moments and Mel-Coefficients
A Machine Learning-Based Approach for Audio Signals Classification using Chebychev Moments and Mel-Coefficients Open
This paper proposes a machine learning-based architecture for audio signals classification based on a joint exploitation of the Chebychev moments and the Mel-Frequency Cepstrum Coefficients. The procedure starts with the computation of the…
View article: An Effective Convolution Neural Network for Automatic Recognition of Analog and Digital Signal Modulations for Cognitive SDR Applications
An Effective Convolution Neural Network for Automatic Recognition of Analog and Digital Signal Modulations for Cognitive SDR Applications Open
This paper proposes a convolution neural network (CNN) architecture for automatic recognition of signals on the basis of their modulations for Cognitive software defined radio (SDR) applications. It is developed starting from two CNNs spec…
View article: Coregistration Method for Rotated/Shifted FOPEN SAR Images
Coregistration Method for Rotated/Shifted FOPEN SAR Images Open
This paper tests a SAR image coregistration method, developed to account for a joint rotation and range/azimuth shift effect in absence of zooming, on foliage penetrating (FOPEN) data. In particular, the method is referred as a constrained…
View article: Unsupervised Sparse Unmixing of Atmospheric Trace Gases From Hyperspectral Satellite Data
Unsupervised Sparse Unmixing of Atmospheric Trace Gases From Hyperspectral Satellite Data Open
In this letter, a new approach for the retrieval of the vertical column concentrations of trace gases from hyperspectral satellite observations is proposed. The main idea is to perform a linear spectral unmixing by estimating the abundance…
View article: SAR Coregistration by Robust Selection of Extended Targets and Iterative Outlier Cancellation
SAR Coregistration by Robust Selection of Extended Targets and Iterative Outlier Cancellation Open
This letter extends the constrained least-squares (CLS) optimization method developed to coregister multitemporal synthetic aperture radar (SAR) images affected by a joint rotation effect and range/azimuth shifts enforcing the absence of z…
View article: Accurate Delay Estimation for Multisensor Passive Locating Systems Exploiting the Cross-Correlation Between Signals Cross-Correlations
Accurate Delay Estimation for Multisensor Passive Locating Systems Exploiting the Cross-Correlation Between Signals Cross-Correlations Open
The availability of accurate estimates of the delay or time of arrival of the incoming signals is of paramount importance for the position estimation in passive radars with multiple receivers. This correspondence aims at improving estimati…
View article: Unauthorized Access Detection in Underlay Cognitive Satellite Networks
Unauthorized Access Detection in Underlay Cognitive Satellite Networks Open
This letter proposes a higher order moments-based spectrum sensing method for detecting unauthorized accesses in underlay cognitive satellite communication networks. Exploiting the second, fourth and sixth-order moments of the received sig…
View article: A Channel Classification Scheme Accounting for Nakagami-<i>m</i> Shadowing and FTR Model
A Channel Classification Scheme Accounting for Nakagami-<i>m</i> Shadowing and FTR Model Open
In this letter, we address the problem of channel classification. Specifically, we consider five channel models also accounting for the incoming fifth generation mobile communication network (5G). The classification problem is formulated i…
View article: Classification of micro-Doppler radar hand-gesture signatures by means of Chebyshev moments
Classification of micro-Doppler radar hand-gesture signatures by means of Chebyshev moments Open
In this paper a method capable of automatically classify radar signals of human hand-gestures exploiting the micro-Doppler signature is designed. In particular, the methodology focuses on the extraction of the Chebyshev moments from the ca…
View article: Chebychev moments based Drone Classification, Recognition and Fingerprinting
Chebychev moments based Drone Classification, Recognition and Fingerprinting Open
This paper introduces the use of a Chebychev moments' based feature for micro-Doppler based Classification, Recognition and Fingerprinting of Drones. This specific feature has been selected for its low computational cost and orthogonality …
View article: A Track-Before-Detect Strategy Based on Sparse Data Processing for Air Surveillance Radar Applications
A Track-Before-Detect Strategy Based on Sparse Data Processing for Air Surveillance Radar Applications Open
In this paper we consider the tracking problem of a moving target competing against noise and clutter in a surveillance radar scenario. For a single array-antenna multiple-target tracking system and according to the Track-Before-Detect par…
View article: Market Behavior and Evolution of Wealth Distribution: A Simulation Model Based on Artificial Agents
Market Behavior and Evolution of Wealth Distribution: A Simulation Model Based on Artificial Agents Open
The aim of this work is to simulate a market behavior in order to study the evolution of wealth distribution. The numerical simulations are carried out on a simple economical model with a finite number of economic agents, which are able to…
View article: DOA Refinement Through Complex Parabolic Interpolation of a Sparse Recovered Signal
DOA Refinement Through Complex Parabolic Interpolation of a Sparse Recovered Signal Open
This letter considers the design of a two-stage direction of arrival (DOA) scheme for radar systems. Precisely, at the first stage a sparse recovery approach is used to obtain both DOA and complex amplitude estimates of the incoming signal…
View article: Phase-Only Space-Time Adaptive Processing
Phase-Only Space-Time Adaptive Processing Open
Space-time adaptive processing (STAP) is a well-known and effective method to detect targets, obscured by interference, from airborne radars that works by coherently combining signals from a phased antenna array (spatial domain) with multi…