Multi-Signal Approaches for Repeated Sampling Schemes in Inertial Sensor Calibration-Reference-Cited by-同舟云学术

Multi-Signal Approaches for Repeated Sampling Schemes in Inertial Sensor Calibration

Published:2023 Issue: Volume:71 Page:1103-1114
ISSN:1053-587X
Container-title:IEEE Transactions on Signal Processing
language:
Short-container-title:IEEE Trans. Signal Process.

Author:

Bakalli Gaetan¹^ORCID,Cucci Davide A.²^ORCID,Radi Ahmed³^ORCID,El-Sheimy Naser⁴,Molinari Roberto⁵^ORCID,Scaillet Olivier⁶^ORCID,Guerrier Stéphane⁷^ORCID

Affiliation:

1. QUANT Research Center, Emlyon Business School, Ecully, France

2. Geneva School of Economics and Management, University of Geneva, Geneva, Switzerland

3. Technical Researches Center, Cairo, Egypt

4. Department of Geomatics Engineering, University of Calgary, Calgary, Alberta, Canada

5. Department of Mathematics & Statistics, Auburn University, Auburn, USA

6. Geneva Finance Research Institute, University of Geneva and Swiss Finance Institute, Geneva, Switzerland

7. Faculty of Science & Geneva School of Economics and Management, University of Geneva, Geneva, Switzerland

Funder

NSF

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

SNSF Professorships

Innosuisse-Boomerang

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

https://ieeexplore.ieee.org/ielam/78/10040758/10086633-aam.pdf

Reference32 articles.

1. Multiscale statistical signal processing: identification of a multiscale AR process from a sample of an ordinary signal

2. Error modeling and characterization of environmental effects for low cost inertial MEMS units

3. Maximum Likelihood Identification of Inertial Sensor Noise Model Parameters

4. Stochastic theory of continuous-time state-space identification

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