45 citations · 194 across the 20 of their papers we have counts for
24 papers
Fast and Accurate Anomaly Detection in Time Series
Emanuele Mele, Massimo Cafaro, Angelo Coluccia +1
Anomaly detection is a critical and evolving field in Machine Learning, with applications targeting different domains such as cybersecurity, finance, healthcare, manufacturing and…
Optimal Placement of Movable Antennas for Angle-of-Departure Estimation Under User Location Uncertainty
Lucía Pallarés-Rodríguez, Angelo Coluccia, Alessio Fascista +4
Movable antennas (MA) have gained significant attention in recent years to overcome the limitations of extremely large antenna arrays in terms of cost and power consumption. In thi…
Space-Efficient Private Estimation of Quantiles
Massimo Cafaro, Aneglo Coluccia, Italo Epicoco +1
Fast and accurate estimation of quantiles on data streams coming from communication networks, Internet of Things (IoT), and alike, is at the heart of important data processing appl…
Joint Localization, Synchronization and Mapping via Phase-Coherent Distributed Arrays
Alessio Fascista, Benjamin J. B. Deutschmann, Musa Furkan Keskin +6
Extremely large-scale antenna array (ELAA) systems emerge as a promising technology in beyond 5G and 6G wireless networks to support the deployment of distributed architectures. Th…
Uplink Joint Positioning and Synchronization in Cell-Free Deployments with Radio Stripes
Alessio Fascista, Benjamin J. B. Deutschmann, Musa Furkan Keskin +6
Radio stripes (RSs) is an emerging technology in beyond 5G and 6G wireless networks to support the deployment of cell-free architectures. In this paper, we investigate the potentia…
ESPRIT-Oriented Precoder Design for mmWave Channel Estimation
Musa Furkan Keskin, Alessio Fascista, Fan Jiang +3
We consider the problem of ESPRIT-oriented precoder design for beamspace angle-of-departure (AoD) estimation in downlink mmWave multiple-input single-output communications. Standar…
Cramér-Rao Bound Analysis of Radars for Extended Vehicular Targets with Known and Unknown Shape
Nil Garcia, Alessio Fascista, Angelo Coluccia +4
Due to their shorter operating range and large bandwidth, automotive radars can resolve many reflections from their targets of interest, mainly vehicles. This calls for the use of…
RIS-aided Joint Localization and Synchronization with a Single-Antenna Receiver: Beamforming Design and Low-Complexity Estimation
Alessio Fascista, Musa Furkan Keskin, Angelo Coluccia +2
Reconfigurable intelligent surfaces (RISs) have attracted enormous interest thanks to their ability to overcome line-of-sight blockages in mmWave systems, enabling in turn accurate…
Design of Customized Adaptive Radar Detectors in the CFAR Feature Plane
Angelo Coluccia, Alessio Fascista, Giuseppe Ricci
The paper addresses the design of adaptive radar detectors having desired behavior, in Gaussian disturbance with unknown statistics. Specifically, given detection probability speci…
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…
On the Sum of Random Samples with Bounded Pareto Distribution
Francesco Grassi, Angelo Coluccia
Heavy-tailed random samples, as well as their sum or average, are encountered in a number of signal processing applications in radar, communications, finance, and natural sciences.…
RIS-aided Joint Localization and Synchronization with a Single-Antenna MmWave Receiver
Alessio Fascista, Angelo Coluccia, Henk Wymeersch +1
MmWave multiple-input single-output (MISO) systems using a single-antenna receiver are regarded as promising solution for the near future, before the full-fledged 5G MIMO will be w…
On the estimation of spatial density from mobile network operator data
Fabio Ricciato, Angelo Coluccia
We tackle the problem of estimating the spatial distribution of mobile phones from Mobile Network Operator (MNO) data, namely Call Detail Record (CDR) or signalling data. The proce…
Downlink Single-Snapshot Localization and Mapping with a Single-Antenna Receiver
Alessio Fascista, Angelo Coluccia, Henk Wymeersch +1
5G mmWave MIMO systems enable accurate estimation of the user position and mapping of the radio environment using a single snapshot when both the base station (BS) and user are equ…
CFAR Feature Plane: a Novel Framework for the Analysis and Design of Radar Detectors
Angelo Coluccia, Alessio Fascista, Giuseppe Ricci
Since Kelly's pioneering work on GLRT-based adaptive detection, many solutions have been proposed to enhance either selectivity or robustness of radar detectors to mismatched signa…
A k-nearest neighbors approach to the design of radar detectors
Angelo Coluccia, Alessio Fascista, Giuseppe Ricci
A k-nearest neighbors (KNN) approach to the design of radar detectors is investigated. The idea is to start with either raw data or well-known radar receiver statistics as feature…
A novel approach to robust radar detection of range-spread targets
Angelo Coluccia, Alessio Fascista, Giuseppe Ricci
This paper proposes a novel approach to robust radar detection of range-spread targets embedded in Gaussian noise with unknown covariance matrix. The idea is to model the useful ta…
Design of robust radar detectors through random perturbation of the target signature
Angelo Coluccia, Giuseppe Ricci, Olivier Besson
The paper addresses the problem of designing radar detectors more robust than Kelly's detector to possible mismatches of the assumed target signature, but with no performance degra…
Millimeter-Wave Downlink Positioning with a Single-Antenna Receiver
Alessio Fascista, Angelo Coluccia, Henk Wymeersch +1
The paper addresses the problem of determining the unknown position of a mobile station for a mmWave MISO system. This setup is motivated by the fact that massive arrays will be in…
Mobile Positioning in Multipath Environments: a Pseudo Maximum Likelihood approach
Alessio Fascista, Angelo Coluccia, Giuseppe Ricci
The problem of mobile position estimation in multipath scenarios is addressed. A low-complexity, fully-adaptive algorithm is proposed, based on the pseudo maximum likelihood approa…
Distributed Learning from Interactions in Social Networks
Francesco Sasso, Angelo Coluccia, Giuseppe Notarstefano
We consider a network scenario in which agents can evaluate each other according to a score graph that models some interactions. The goal is to design a distributed protocol, run b…
An Empirical Bayes Approach for Distributed Estimation of Spatial Fields
Francesco Sasso, Angelo Coluccia, Giuseppe Notarstefano
In this paper we consider a network of spatially distributed sensors which collect measurement samples of a spatial field, and aim at estimating in a distributed way (without any c…
Interaction-Based Distributed Learning in Cyber-Physical and Social Networks
Francesco Sasso, Angelo Coluccia, Giuseppe Notarstefano
In this paper we consider a network scenario in which agents can evaluate each other according to a score graph that models some physical or social interaction. The goal is to desi…
A Bayesian framework for distributed estimation of arrival rates in asynchronous networks
Angelo Coluccia, Giuseppe Notarstefano
In this paper we consider a network of agents monitoring a spatially distributed arrival process. Each node measures the number of arrivals seen at its monitoring point in a given…