Title
Empirical case-studies of state fusion via ellipsoidal intersection
Author
Sijs, J.
Lazar, M.
Publication year
2011
Abstract
This article presents a practical assessment of the recently developed state fusion method ellipsoidal intersection and focusses on distributed state estimation in sensor networks. It was already proven that this fusion method combines strong fundamental properties with attractive features in accuracy and computational requirements. However, these features were derived for linear processes with observability of the state vector in at least one of the local measurements. Therefore, several empirical case-studies are performed to assess ellipsoidal intersection with respect to three real-life limitations. A scenario of cooperative adaptive cruise control is used to analyze the absence of observability in any local measurement. Furthermore, the Van-der-Pol oscillator and a benchmark application of tracking shockwaves on highways assess the fusion method for nonlinear process models. The latter example is also used in a set-up where the employed state estimation methodology differs per node, so to meet different computational requirements per node.
Subject
Benchmark applications
Case-studies
Computational requirements
Cooperative adaptive cruise control
Distributed state estimation
Estimation methodologies
Fundamental properties
Fusion methods
Linear process
Local measurement
Nonlinear process models
State vector
Benchmarking
Information fusion
Measurements
Observability
Sensor networks
State estimation
Rating
Physics & Electronics
DSS - Distributed Sensor Systems
TS - Technical Sciences
To reference this document use:
http://resolver.tudelft.nl/uuid:fea7deb5-ae6e-4be4-9790-de598a8b5a98
TNO identifier
435975
Source
14th International Conference on Information Fusion, Fusion 2011, 5-8 July 2011, Chicago, IL, USA
Document type
conference paper