Published on 24 April 2021

KEWLS and KFF 2D Comparative Model

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Meunier, Ben

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.

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.6

FAIR Score

58%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

IEEE DataPort

Assigned Domain

Subfield

Aerospace Engineering

Field

Engineering

Domain

Physical Sciences

Confidence Score

44%

Source

Scholar Data Model

Keywords

CommunicationsEnergySensorsNonlinear signal processinglocalisation

Normalization Factors

FT

30.77

CTw

1.00

MTw

1.00