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Validation range for KF data fusion devices

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Abstract

Sensing devices are the main support for any experimental activity. The user expects that they are transparent, i.e., any measurement provides an assessment of a physical variable. Recent microelectronics developments caused significant modifications in the products offered by the market. Data fusion is the source of a recent jump in that technology, but the transparency of the result is no longer evident. In this paper, the authors consider the data fusion of displacement and acceleration measurements via a Kalman filter. The assemblage of two sensors is produced from scratch, and the critical aspects of the consequent data fusion are emphasized.

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Authors and Affiliations

  1. DICAr, University of Pavia, Via Ferrata 3, 27100, Pavia, Italy

    F. Casciati

  2. DICAr, School of Architecture, University of Catania at Siracusa, P.za Federico di Svevia, 96100, Siracusa, Italy

    S. Casciati

  3. R2Msolution s.r.l, via Fratelli Curzio 42, 27100, Pavia, Italy

    M. Vece

Authors
  1. F. Casciati
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  2. S. Casciati
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  3. M. Vece
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Corresponding author

Correspondence to F. Casciati.

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This paper is dedicated to the memory of Franz Ziegler

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Casciati, F., Casciati, S. & Vece, M. Validation range for KF data fusion devices. Acta Mech 229, 707–717 (2018). https://doi.org/10.1007/s00707-017-1994-1

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  • DOI: https://doi.org/10.1007/s00707-017-1994-1

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