A Cognitive Particle Filter for Collaborative DGNSS Positioning

The advances in low-latency communications networks and the ever-growing amount of devices offering localization and navigation capabilities opened a number of opportunities to develop innovative network-based collaborative solutions to satisfy the increasing demand for positioning accuracy and precision. Recent research works indeed, have fostered the concept of networked Global Navigation Satellite System (GNSS) receivers supporting the sharing of raw measurements with other receivers within the same network. Such measurements (i.e. pseudorange and Doppler) can be processed through Differential GNSS (DGNSS) techniques to retrieve inter-agent distances which can be in turn integrated to improve positioning performance. This article investigates an improved Bayesian estimation algorithm for a sensorless, tight-integration of DGNSS-based collaborative measurements through a modified Particle Filter (PF), namely Cognitive PF. Differently from Extended Kalman Filter and Uscented Kalman Filter indeed, a PF natively support the non-Gaussian noise distribution which characterizes DGNSS-based inter-agent distances. The proposed Cognitive PF is hence designed, implemented and optimized according to the architecture of a proprietary Inertial Navigation System (INS)-free Global Navigation Satellite System (GNSS) software receiver. Experimental tests performed through realistic radio-frequency GNSS signals showed a remarkable improvement in positioning accuracy w.r.t. reference PF and EKF architectures

Detection of GNSS Ionospheric Scintillations based on Machine Learning Decision Tree

This paper proposes a methodology for automatic, accurate and early detection of amplitude ionospheric scintillation events, based on machine learning algorithms, applied on big sets of 50 Hz post-correlation data provided by a GNSS receiver. Experimental results on real data show that this approach can considerably improve traditional methods, reaching a detection accuracy of 98%, very close to human-driven manual classification. Moreover, the detection responsiveness is enhanced, enabling early scintillation alerts

DGNSS-based Cooperative Positioning using Statistics-Adaptive Particle Filter

The advances in low-latency communications networks combined with the paradigm of Intelligent Transportation Systems (ITS) have opened a number of opportunities to develop network-based collaborative positioning and navigation. Recent research works indeed, have fostered the concept of networked Global Navigation Satellite System (GNSS) receivers supporting the sharing of raw measurements with other receivers connected to the network. Such measurements (i.e. pseudorange and Doppler) can be processed through Differential GNSS techniques to retrieve inter-receiver distances which can be in turn integrated to improve positioning performance. This paper investigates an improved Bayesian estimation for a sensorless (i.e. unavailable Inertial Navigation Sytem (INS)), tight-integration of Differential-GNSS-based collaborative measurements through a modified Particle Filter (PF). Differently from Hybrid Extended Kalman Filter (EKF) and Unscented Kalman Filter (UKF) indeed, a PF natively support the non-Gaussian noise distribution characterizing GNSS-based inter-receiver distances. The proposed PF was hence designed, implemented and optimized according to the architecture of a proprietary INS-free Global Navigation Satellite System (GNSS) software receiver and tested with realistic Radio-Frequency (RF) signals, thus showing remarkable improvement in positioning accuracy

A journey down the slippery slope to the European crisis : a theorist's guide

We offer a theoretically based narrative that attempts to account both for the formation of the European Monetary Union and the callenges it has faced. Lack of commitment to policy plays a central role in this narrative.The ADEMU Working Paper Series is being supported by the European Commission Horizon 2020 European Union funding for Research & Innovation, grant agreement No 649396

A journey down the slippery slope to the European crisis: a theorist's guide

We offer a theoretically based narrative that attempts to account both for the formation of the European Monetary Union and the callenges it has faced. Lack of commitment to policy plays a central role in this narrative.The ADEMU Working Paper Series is being supported by the European Commission Horizon 2020 European Union funding for Research & Innovation, grant agreement No 649396

Rethinking optimal currency areas

The traditional Mundellian criterion, which implicitly assumes commitment to monetary policy, is that countries with similar shocks should form unions. Without such commitment a new criterion emerges: countries with dissimilar temptation shocks, namely those that exacerbate time inconsistency problems, should form unions. Critical to this new criterion is the idea that monetary policy is benevolent in that it takes into account the interests of all the countries in the union. When countries have dissimilar temptation shocks, benevolent unions can help overcome the time inconsistency problems that individual countries face. Existing unions can strictly gain by admitting new members with more severe time inconsistency problems, because policy in the expanded union is less sensitive to the temptation shocks of members of the existing union.The ADEMU Working Paper Series is being supported by the European Commission Horizon 2020 European Union funding for Research & Innovation, grant agreement No 649396

Rethinking optimal currency areas

The traditional Mundellian criterion, which implicitly assumes commitment to monetary policy, is that countries with similar shocks should form unions. Without such commitment a new criterion emerges: countries with dissimilar temptation shocks, namely those that exacerbate time inconsistency problems, should form unions. Critical to this new criterion is the idea that monetary policy is benevolent in that it takes into account the interests of all the countries in the union. When countries have dissimilar temptation shocks, benevolent unions can help overcome the time inconsistency problems that individual countries face. Existing unions can strictly gain by admitting new members with more severe time inconsistency problems, because policy in the expanded union is less sensitive to the temptation shocks of members of the existing union.The ADEMU Working Paper Series is being supported by the European Commission Horizon 2020 European Union funding for Research & Innovation, grant agreement No 649396

A journey down the slippery slope to the European crisis: a theorist's guide

We offer a theoretically based narrative that attempts to account both for the formation of the European Monetary Union and the callenges it has faced. Lack of commitment to policy plays a central role in this narrative.The ADEMU Working Paper Series is being supported by the European Commission Horizon 2020 European Union funding for Research & Innovation, grant agreement No 649396