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Gear scale estimation for synthetic speed pulse generation
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-3054-6413
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
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2011 (English)In: 36th IEEE International Conference on Acoustics, Speech, and Signal Processing, IEEE conference proceedings, 2011, 1825-1828 p.Conference paper, Published paper (Refereed)
Abstract [en]

In a motorized vehicle a number of easily measurable signals with frequency components related to the rotational speed of the engine can be found, e.g., vibrations, electrical system voltage level, and ambient sound. These signals could potentially be used to estimate the speed and related states of the vehicle. Unfortunately, such estimates would typically require the relations (scale factors) between the frequency components and the speed for different gears to be known. Consequently, in this article we look at the problem of estimating these gear scale factors from training data consisting only of speed measurements and measurements of the signal in question. The estimation problem is formulated as a maximum likelihood estimation problem and heuristics is used to find initial values for a numerical evaluation of the estimator. Finally, a measurement campaign is conducted and the functionality of the estimation method is verified on real data.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2011. 1825-1828 p.
Series
International Conference on Acoustics Speech and Signal Processing ICASSP, ISSN 1520-6149
Keyword [en]
In-car navigation, gear ratios, maximum likelihood estimation, speed pulse
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-47466DOI: 10.1109/ICASSP.2011.5946859ISI: 000296062402039Scopus ID: 2-s2.0-80051626914ISBN: 978-1-4577-0537-3 (print)OAI: oai:DiVA.org:kth-47466DiVA: diva2:455416
Conference
36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011. Prague. 22 May 2011 - 27 May 2011
Note

QC 20111116

Available from: 2013-02-15 Created: 2011-11-10 Last updated: 2013-02-15Bibliographically approved

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Skog, IsaacHändel, Peter

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Nilsson, John-OlofSkog, IsaacDe Angelis, AlessioAquilanti, ClaudiaHändel, Peter
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