Description
This Matlab model and the included results are submitted as reference for the paper ''.Presenting a comparative study of the Sequential Unscented Kalman Filter (SUKF), Least-squares (LS) Multilateration and standard Unscented Kalman Filter (UKF) for localisation that relies on sequentially received datasets.The KEWLS and KKF approach presents a novel solution using Linear Kalman Filters (LKF) to extrapolate individual sensor measurements to a synchronous point in time for use in LS Multilateration.
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Metrics Over Time
Publication Details
Subfield
Aerospace Engineering
Field
Engineering
Domain
Physical Sciences
Confidence Score
44%
Source
Scholar Data Model
Keywords
CommunicationsEnergySensorsNonlinear signal processinglocalisation