An extended kalman filter for time delays inspired by a fractional order model

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

Standard

An extended kalman filter for time delays inspired by a fractional order model. / Haus, Benedikt; Mercorelli, Paolo.

RRNR 2017: : Non-Integer Order Calculus and its Applications. Hrsg. / Piotr Ostalczyk; Dominik Sankowski; Jacek Nowakowski. Cham : Springer, 2019. S. 151-163 (Lecture Notes in Electrical Engineering; Band 496).

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

Harvard

Haus, B & Mercorelli, P 2019, An extended kalman filter for time delays inspired by a fractional order model. in P Ostalczyk, D Sankowski & J Nowakowski (Hrsg.), RRNR 2017: : Non-Integer Order Calculus and its Applications. Lecture Notes in Electrical Engineering, Bd. 496, Springer, Cham, S. 151-163, Conference on Non-integer Order Calculus and Its Applications 2017, Lodz, Polen, 11.11.17. https://doi.org/10.1007/978-3-319-78458-8_14

APA

Haus, B., & Mercorelli, P. (2019). An extended kalman filter for time delays inspired by a fractional order model. in P. Ostalczyk, D. Sankowski, & J. Nowakowski (Hrsg.), RRNR 2017: : Non-Integer Order Calculus and its Applications (S. 151-163). (Lecture Notes in Electrical Engineering; Band 496). Springer. https://doi.org/10.1007/978-3-319-78458-8_14

Vancouver

Haus B, Mercorelli P. An extended kalman filter for time delays inspired by a fractional order model. in Ostalczyk P, Sankowski D, Nowakowski J, Hrsg., RRNR 2017: : Non-Integer Order Calculus and its Applications. Cham: Springer. 2019. S. 151-163. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-3-319-78458-8_14

Bibtex

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title = "An extended kalman filter for time delays inspired by a fractional order model",
abstract = "In this paper a method to estimate time delays between two periodic signals using Extended Kalman Filters (EKF) is presented. Fractional Derivatives were used as an inspiration in the underlying EKF system model of the time delay to improve the approximation of the time delay transfer function by a truncated Taylor polynomial. This method results to reduce estimation offsets. The approach is based on the assumption that, apart from some noise and the time delay to be estimated, there is no difference between the two signals. Simulations confirm that this method works well for Gaussian bell curve-like signals with a period that is one order of magnitude greater than the time delay.",
keywords = "Engineering",
author = "Benedikt Haus and Paolo Mercorelli",
year = "2019",
doi = "10.1007/978-3-319-78458-8_14",
language = "English",
isbn = "978-3-319-78457-1",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer",
pages = "151--163",
editor = "Piotr Ostalczyk and Dominik Sankowski and Jacek Nowakowski",
booktitle = "RRNR 2017:",
address = "Germany",
note = "Conference on Non-integer Order Calculus and Its Applications 2017, RRNR ; Conference date: 11-11-2017 Through 13-11-2017",
url = "http://www.rrnr17.p.lodz.pl/, http://www.rrnr17.p.lodz.pl/index.php?page=welcome",

}

RIS

TY - CHAP

T1 - An extended kalman filter for time delays inspired by a fractional order model

AU - Haus, Benedikt

AU - Mercorelli, Paolo

N1 - Conference code: 9

PY - 2019

Y1 - 2019

N2 - In this paper a method to estimate time delays between two periodic signals using Extended Kalman Filters (EKF) is presented. Fractional Derivatives were used as an inspiration in the underlying EKF system model of the time delay to improve the approximation of the time delay transfer function by a truncated Taylor polynomial. This method results to reduce estimation offsets. The approach is based on the assumption that, apart from some noise and the time delay to be estimated, there is no difference between the two signals. Simulations confirm that this method works well for Gaussian bell curve-like signals with a period that is one order of magnitude greater than the time delay.

AB - In this paper a method to estimate time delays between two periodic signals using Extended Kalman Filters (EKF) is presented. Fractional Derivatives were used as an inspiration in the underlying EKF system model of the time delay to improve the approximation of the time delay transfer function by a truncated Taylor polynomial. This method results to reduce estimation offsets. The approach is based on the assumption that, apart from some noise and the time delay to be estimated, there is no difference between the two signals. Simulations confirm that this method works well for Gaussian bell curve-like signals with a period that is one order of magnitude greater than the time delay.

KW - Engineering

UR - http://www.scopus.com/inward/record.url?scp=85044829199&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-78458-8_14

DO - 10.1007/978-3-319-78458-8_14

M3 - Article in conference proceedings

AN - SCOPUS:85044829199

SN - 978-3-319-78457-1

T3 - Lecture Notes in Electrical Engineering

SP - 151

EP - 163

BT - RRNR 2017:

A2 - Ostalczyk, Piotr

A2 - Sankowski, Dominik

A2 - Nowakowski, Jacek

PB - Springer

CY - Cham

T2 - Conference on Non-integer Order Calculus and Its Applications 2017

Y2 - 11 November 2017 through 13 November 2017

ER -

DOI