Error Propagation of Capon’s Minimum Variance Estimator

The error propagation of Capon’s minimum variance estimator resulting from measurement errors and position errors is derived within a linear approximation. It turns out, that Capon’s estimator provides the same error propagation as the conventionally used least square fit method. The shape matrix wh...

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Main Authors: S. Toepfer, Y. Narita, D. Heyner, U. Motschmann
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-06-01
Series:Frontiers in Physics
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fphy.2021.684410/full
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author S. Toepfer
Y. Narita
Y. Narita
D. Heyner
U. Motschmann
U. Motschmann
author_facet S. Toepfer
Y. Narita
Y. Narita
D. Heyner
U. Motschmann
U. Motschmann
author_sort S. Toepfer
collection DOAJ
description The error propagation of Capon’s minimum variance estimator resulting from measurement errors and position errors is derived within a linear approximation. It turns out, that Capon’s estimator provides the same error propagation as the conventionally used least square fit method. The shape matrix which describes the location depence of the measurement positions is the key parameter for the error propagation, since the condition number of the shape matrix determines how the errors are amplified. Furthermore, the error resulting from a finite number of data samples is derived by regarding Capon’s estimator as a special case of the maximum likelihood estimator.
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spelling doaj.art-ab382bd35d33426bbdc21fdf636dd75f2022-12-21T22:36:47ZengFrontiers Media S.A.Frontiers in Physics2296-424X2021-06-01910.3389/fphy.2021.684410684410Error Propagation of Capon’s Minimum Variance EstimatorS. Toepfer0Y. Narita1Y. Narita2D. Heyner3U. Motschmann4U. Motschmann5Institut für Theoretische Physik, Technische Universität Braunschweig, Braunschweig, GermanySpace Research Institute, Austrian Academy of Sciences, Graz, AustriaInstitut für Geophysik und Extraterrestrische Physik, Technische Universität Braunschweig, Braunschweig, GermanyInstitut für Geophysik und Extraterrestrische Physik, Technische Universität Braunschweig, Braunschweig, GermanyInstitut für Theoretische Physik, Technische Universität Braunschweig, Braunschweig, GermanyDLR Institute of Planetary Research, Berlin, GermanyThe error propagation of Capon’s minimum variance estimator resulting from measurement errors and position errors is derived within a linear approximation. It turns out, that Capon’s estimator provides the same error propagation as the conventionally used least square fit method. The shape matrix which describes the location depence of the measurement positions is the key parameter for the error propagation, since the condition number of the shape matrix determines how the errors are amplified. Furthermore, the error resulting from a finite number of data samples is derived by regarding Capon’s estimator as a special case of the maximum likelihood estimator.https://www.frontiersin.org/articles/10.3389/fphy.2021.684410/fullCapon’s methoderror propagationleast-squares methodmaximum likelihoodcondition number
spellingShingle S. Toepfer
Y. Narita
Y. Narita
D. Heyner
U. Motschmann
U. Motschmann
Error Propagation of Capon’s Minimum Variance Estimator
Frontiers in Physics
Capon’s method
error propagation
least-squares method
maximum likelihood
condition number
title Error Propagation of Capon’s Minimum Variance Estimator
title_full Error Propagation of Capon’s Minimum Variance Estimator
title_fullStr Error Propagation of Capon’s Minimum Variance Estimator
title_full_unstemmed Error Propagation of Capon’s Minimum Variance Estimator
title_short Error Propagation of Capon’s Minimum Variance Estimator
title_sort error propagation of capon s minimum variance estimator
topic Capon’s method
error propagation
least-squares method
maximum likelihood
condition number
url https://www.frontiersin.org/articles/10.3389/fphy.2021.684410/full
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