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TDOA Source-Localization Technique Robust to Time-Synchronization Attacks

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The White Rabbit Time Synchronization Protocol for Synchrophasor Networks

Mario Paolone, Asja Derviskadic, Reza Razzaghi, Quentin Walger

Within the context of time dissemination techniques for power systems applications, the paper discusses the use of the White Rabbit (WR) protocol for synchrophasor networks. Specifically, the paper presents a Phasor Measurement Unit (PMU) integrating the W ...

2018

Bone orientation and position estimation errors using Cosserat point elements and least squares methods: Application to gait

Kamiar Aminian, Arnaud Barré

The aim of this study was to analyze the accuracy of bone pose estimation based on sub-clusters of three skin-markers characterized by triangular Cosserat point elements (TCPEs) and to evaluate the capability of four instantaneous physical parameters, whic ...

Elsevier2017

Forecasting Uncertainty in Electricity Demand

Tri Kurniawan Wijaya

Generalized Additive Models (GAM) are a widely popular class of regression models to forecast electricity demand, due to their high accuracy, flexibility and interpretability. However, the residuals of the fitted GAM are typically heteroscedastic and lepto ...

2015

Digital Synchronization for Symbol-spaced IEEE802.11ad Gigabit mmWave Systems

Andreas Peter Burg, Nicholas Alexander Preyss

A complete digital synchronization architecture for an IEEE 802.11ad compliant 60 GHz receiver is presented. The characteristics of mmWave systems require a holistic view on the problem of parameter estimation, such that not each parameter is dealt with on ...

2015

Diffusion adaptation techniques based on the least-mean-squares criterion have been proposed for distributed detection of a signal in Gaussian-distributed noise, forgoing the need for a fusion center. However, least-mean-squares solutions are generally non ...

IEEE2014

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Synchronization of data coming from different sources is of high importance in biomechanics to ensure reliable analyses. This synchronization can either be performed through hardware to obtain perfect matching of data, or post-processed digitally. Hardware ...

2012

A novel low complexity data demodulation algorithm for pulse position modulation

Pierre-André Farine, Cyril Botteron

In this paper, a low complexity data demodulation algorithm is proposed that requires time of arrival information of the received signal exclusively. As an application example, the algorithm is applied to an ultra-wideband impulse radio communication syste ...

2012

Robust Parameter Estimation for the Ornstein-Uhlenbeck Process

Sonja Rieder

In this thesis, we treat robust estimation for the parameters of the Ornstein–Uhlenbeck process, which are the mean, the variance, and the friction. We start by considering classical maximum likelihood estimation. For the simulation study, where we also in ...

EPFL2012

Robust parameter estimation for the Ornstein-Uhlenbeck process

Sonja Rieder

In this paper, we derive elementary M- and optimally robust asymptotic linear (AL)-estimates for the parameters of an Ornstein-Uhlenbeck process. Simulation and estimation of the process are already well-studied, see Iacus (Simulation and inference for sto ...

Springer-Verlag2012

Diffusion-based bias-compensated RLS for distributed estimation over adaptive sensor networks

Ali H. Sayed

We present a diffusion-based bias-compensated recursive least squares (RLS) algorithm for distributed estimation in ad-hoc adaptive sensor networks where nodes cooperate to estimate a common deterministic parameter vector. It is assumed that both the regre ...

2011