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Tracking of multiple wideband targets using passive sensor arrays and particle filters

Publications associées (52)

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Statistical performances of various deterministic and stochastic models for rainfall series disaggregation

This paper compares the performance of seven disaggregation models, based on various approaches and/or concepts, for the generation of 10mn time step rainfall series from hourly rainfall series. The so-called constant disaggregation model and a linear mode ...

2005

Gradient estimates of return distributions

Samy Bengio, Christos Dimitrakakis

We present a general method for maintaining estimates of the distribution of parameters in arbitrary models. This is then applied to the estimation of probability distributions over actions in value-based reinforcement learning. While this approach is simi ...

2005

Overview of edge electrostatic turbulence experiments on TCV

Jonathan Graves, Richard Pitts, Jan Horacek

Experiments on edge turbulence in the TCV tokamak have been performed for the first time at the beginning of 2003. This paper presents an overview of some of the results obtained, concentrating in particular on two areas: universality of density fluctuatio ...

2005

A Rao-Blackwellized Mixed State Particle Filter for Head Pose Tracking

Jean-Marc Odobez, Silèye Oumar Ba

This paper presents a Rao-Blackwellized mixed state particle filter for joint head tracking and pose estimation. Rao-Blackwellizing a particle filter consists of marginalizing some of the variables of the state space in order to exactly compute their poste ...

2005

A Rao-Blackwellized Mixed State Particle Filter for Head Pose Tracking

Jean-Marc Odobez, Silèye Oumar Ba

IDIAP2005

Proposal strategies for joint state-space tracking with particle filters

Volkan Cevher

A proposal function determines the random particle support of a particle filter. When this support is distributed close to the true target density, filter's estimation performance increases for a given number of particles. In this paper, a proposal strateg ...

2005

General direction-of-arrival tracking with acoustic nodes

Volkan Cevher

In this paper, we propose a particle filter acoustic direction-of-arrival (DOA) tracker to track multiple maneuvering targets using a state space approach. The particle filter determines its state vector using a batch of DOA estimates. The filter likelihoo ...

Institute of Electrical and Electronics Engineers2005

An acoustic multiple target tracker

Volkan Cevher

We propose a particle filter acoustic tracker to track multiple maneuvering targets using a state space formulation with a locally linear motion model. The observations are a batch of direction-of-arrival (DOA) estimates at various frequencies. The data li ...

2005

Design and Practical Use of Probabilistic Observers for Mass-Balance-Based Bioprocess Models

Benoît Chachuat, Olivier Bernard

In this paper, the design of probabilistic observers for mass-balance based bio- process models is investigated. It is assumed that the probability density function of every uncertain parameter, input and/or initial state is known a priori. Then, the proba ...

2004

General state-space models

Thomas Gsponer

In time series analysis state-space models provide a wide and flexible class. The basic idea is to describe an unobservable phenomenon of interest on the basis of noisy data. The first constituent of such a model is the so-called state equation, which char ...

EPFL2004