liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Weighted Total Least Squares for Quadratic Errors-in-Variables Regression
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-2368-3217
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-1971-4295
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0003-3270-171X
2023 (English)In: Proceedings of the 31st Conference on European Signal Processing, IEEE, 2023, p. 1894-1897Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we present a study on using weightedtotal least squares method for parameter estimation of errorsin-variables models with quadratic regressors. The statistics oferror is analyzed to fill in the gap between basic assumptions inweighted total least squares and our case. A modified Cram´er-Rao lower bound is introduced for error quantification in theproposed method. We perform evaluations based on simulationswith comparisons to standard least squares and generalized totalleast squares. Numerical results show that the proposed methodoutperforms the others in terms of estimation accuracy

Place, publisher, year, edition, pages
IEEE, 2023. p. 1894-1897
National Category
Control Engineering Signal Processing
Identifiers
URN: urn:nbn:se:liu:diva-198576OAI: oai:DiVA.org:liu-198576DiVA, id: diva2:1805839
Conference
Proceedings of the 31st Conference on European Signal Processing (EUSIPCO), Helsinki, Finland, September 4-8, 2023.
Funder
Swedish Research Council for Environment, Agricultural Sciences and Spatial PlanningAvailable from: 2023-10-18 Created: 2023-10-18 Last updated: 2023-10-24

Open Access in DiVA

No full text in DiVA

Authority records

Liu, PengLi, KailaiHendeby, GustafGustafsson, Fredrik

Search in DiVA

By author/editor
Liu, PengLi, KailaiHendeby, GustafGustafsson, Fredrik
By organisation
Automatic ControlFaculty of Science & Engineering
Control EngineeringSignal Processing

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 152 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf