Current studentsExisting staffContact us
 

Multi-sensor linear state estimation under high rate quantization

Simple item page
dc.contributor.authorLeong, A.S.
dc.contributor.authorDey, S.
dc.contributor.authorNair, G.N.
dc.contributor.conference3rd IFAC Workshop on Distributed Estimation and Control in Networked Systems (14 Sep 2012 - 15 Sep 2012 : Santa Barbara, California)
dc.date.issued2012
dc.description.abstractIn this paper we consider state estimation of a discrete time linear system using multiple sensors, where the sensors quantize their individual innovations, which are then combined at the fusion center to form a global state estimate. We obtain an asymptotic approximation for the error covariance matrix that relates the system parameters and quantization levels used by the different sensors. Numerical results show close agreement with the true error covariance for quantization at high rates. An optimal rate allocation problem amongst the different sensors is also considered.
dc.identifier.citationIFAC papers online, 2012, vol.45, iss.26, pp.115-120
dc.identifier.doi10.3182/20120914-2-US-4030.00020
dc.identifier.isbn9783902823229
dc.identifier.issn1474-6670
dc.identifier.urihttps://hdl.handle.net/11541.2/126455
dc.language.isoen
dc.publisherElsevier
dc.publisher.placeUS
dc.rightsCopyright 2012 International Federation of Automatic Control
dc.source.urihttps://doi.org/10.3182/20120914-2-US-4030.00020
dc.subjectasymptotic approximation
dc.subjectdiscrete time linear systems
dc.subjecterror covariance matrix
dc.subjecthigh-rate quantization
dc.subjectlinear state estimation
dc.subjectnumerical results
dc.subjectoptimal rate allocation
dc.subjectquantization levels
dc.titleMulti-sensor linear state estimation under high rate quantization
dc.typeConference paper
pubs.publication-statusPublished
ror.mmsid9916130909101831

Files

Collections