activity
20112022
most citedEmitter Localisation from Reception Timestamps in Asynchronous Networks

12 citations · 19 across the 7 of their papers we have counts for

collaborators

7 papers

cs.NI2022★ 1 cited

Improving Aircraft Localization: Experiences and Lessons Learned from an Open Competition

Martin Strohmeier, Mauro Leonardi, Sergei Markochev +3

Knowledge about the exact positioning of aircraft is crucial in many settings. Consequently, the opportunistic and independent localization of aircraft based on their communication…

eess.SP2020

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…

eess.SP2018★ 4 cited

Nanosecond-precision Time-of-Arrival Estimation for Aircraft Signals with low-cost SDR Receivers

Roberto Calvo-Palomino, Fabio Ricciato, Blaz Repas +2

Precise Time-of-Arrival (TOA) estimations of aircraft and drone signals are important for a wide set of applications including aircraft/drone tracking, air traffic data verificatio…

cs.NI2014

Time to timestamp: opportunistic cooperative localization from reception time measurements

Fabio Ricciato

We present a general framework for improving and extending GNSS-based positioning by leveraging opportunistic measurements from legacy terrestrial radio signals. The proposed appro…

cs.NI2014★ 12 cited

Emitter Localisation from Reception Timestamps in Asynchronous Networks

Nicolo' Facchi, Francesco Gringoli, Fabio Ricciato +1

We address the problem of localising a mobile terminal ("blind" node) in unknown position from a set of "anchor" nodes in known positions. The proposed method does not require any…

cs.NI2012

Pseudo-random Aloha for Enhanced Collision-recovery in RFID

Fabio Ricciato, Paolo Castiglione

In this letter we motivate the need to revisit the MAC protocol used in Gen2 RFID system in order to leverage receiver structures with Collision Recovery capabilities at the PHY la…

cs.NI2011★ 2 cited

Reduce to the Max: A Simple Approach for Massive-Scale Privacy-Preserving Collaborative Network Measurements (Extended Version)

Fabio Ricciato, Martin Burkhart

Privacy-preserving techniques for distributed computation have been proposed recently as a promising framework in collaborative inter-domain network monitoring. Several different a…