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Discounted Least-Squares Gearshift Detection Using Accelerometer Data
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-2718-0262
2009 (English)In: IEEE Transactions on Instrumentation and Measurement, ISSN 0018-9456, E-ISSN 1557-9662, Vol. 58, no 12, 3953-3958 p.Article in journal (Refereed) Published
Abstract [en]

A gearshift detector based on accelerometer readings is derived, and its performance is investigated with the aid of experimental data. The employed methodology contains a low-order parametric model of the acceleration performed by the vehicle in combination with the minimization of a fading-memory least-squares criterion for parameter estimation and tracking. It is shown that the resulting filtering equations converge so that filtered accelerometer outputs (i.e., instantaneous acceleration and its rate of change) are obtained by linear time-invariant filtering of the raw accelerometer data, where the tradeoff between noise suppression and tracking ability is entirely determined by a single user-chosen variable. Two detection variables are formed, and they are combined to produce the detector output. Evaluation on experimental data illustrates the potential of the proposed method.

Place, publisher, year, edition, pages
2009. Vol. 58, no 12, 3953-3958 p.
Keyword [en]
Acceleration measurements, detection, discounted least squares, gearshifts
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-18952DOI: 10.1109/tim.2009.2020844ISI: 000271678000004Scopus ID: 2-s2.0-76949107194OAI: oai:DiVA.org:kth-18952DiVA: diva2:336999
Note
QC 20100525 QC 20111107Available from: 2010-08-05 Created: 2010-08-05 Last updated: 2017-12-12Bibliographically approved

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Händel, Peter

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