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Bayesian strategies for calibrating heteroskedastic static sensors with unknown model structures
Örebro University, School of Science and Technology. Luleå University of Technology, Luleå, Sweden.ORCID iD: 0000-0001-6868-2210
Luleå University of Technology, Luleå, Sweden.ORCID iD: 0000-0002-4310-7938
Luleå University of Technology, Luleå, Sweden.ORCID iD: 0000-0002-0079-9049
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2018 (English)In: 2018 European Control Conference (ECC), IEEE, 2018, p. 2447-2453Conference paper, Published paper (Refereed)
Abstract [en]

This paper investigates the problem of calibrating sensors affected by (i) heteroskedastic measurement noise and (ii) a polynomial bias, describing a systematic distortion of the measured quantity. First, a set of increasingly complex statistical models for the measurement process was proposed. Then, for each model the authors design a Bayesian parameters estimation method handling heteroskedasticity and capable to exploit prior information about the model parameters. The Bayesian problem is solved using MCMC methods and reconstructing the unknown parameters posterior in sampled form. The authors then test the proposed techniques on a practically relevant case study, the calibration of Light Detection and Ranging (Lidar) sensor, and evaluate the different proposed procedures using both artificial and field data.

Place, publisher, year, edition, pages
IEEE, 2018. p. 2447-2453
National Category
Control Engineering Probability Theory and Statistics
Research subject
Control Engineering
Identifiers
URN: urn:nbn:se:oru:diva-82176DOI: 10.23919/ECC.2018.8550201ISI: 000467725302079Scopus ID: 2-s2.0-85059819837ISBN: 978-3-9524-2698-2 (electronic)ISBN: 978-1-5386-5303-6 (print)OAI: oai:DiVA.org:oru-82176DiVA, id: diva2:1433182
Conference
European Control Conference (ECC), Limassol, Cyprus, June 12-15, 2018.
Note

Funding Agency:

Norrbottens Forskningsrad

University of Baghdad

Available from: 2020-05-29 Created: 2020-05-29 Last updated: 2020-08-19Bibliographically approved

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Alhashimi, Anas

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CiteExportLink to record
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Citation style
  • apa
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