Recursive Subspace-aided Frequency Estimator Based on the Propagator Method

Kuan Li; Hao Luo; Xianling Li; Shen Yin

doi:10.1109/ICIT46573.2021.9453613

Recursive Subspace-aided Frequency Estimator Based on the Propagator Method

Kuan Li
, Hao Luo
, Xianling Li
, Shen Yin

School of Astronautics

Harbin Institute of Technology
Science and Technology on Thermal Energy and Power Laboratory

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

In this paper, a subspace-aided frequency estimator is developed using the subspace identification method (SIM) based on a formulated state space model. More importantly, two recursive subspace-aided frequency estimators are proposed for online frequency tracking purpose. The recursive frequency estimators are both realized based on the propagator method (PM), where one estimator updates the propagator using the recursive least squares (RLS) with forgetting factor and the other estimator updates the propagator using the sliding window technique with the forgetting factor. Finally, the performance of the proposed algorithms is demonstrated and illustrated through numerical simulations.

Original language	English
Title of host publication	Proceedings - 2021 22nd IEEE International Conference on Industrial Technology, ICIT 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	925-930
Number of pages	6
ISBN (Electronic)	9781728157306
DOIs	https://doi.org/10.1109/ICIT46573.2021.9453613
State	Published - 10 Mar 2021
Event	22nd IEEE International Conference on Industrial Technology, ICIT 2021 - Valencia, Spain Duration: 10 Mar 2021 → 12 Mar 2021

Publication series

Name	Proceedings of the IEEE International Conference on Industrial Technology
Volume	2021-March

Conference

Conference	22nd IEEE International Conference on Industrial Technology, ICIT 2021
Country/Territory	Spain
City	Valencia
Period	10/03/21 → 12/03/21

Access to Document

10.1109/ICIT46573.2021.9453613

Cite this

Li, K., Luo, H., Li, X., & Yin, S. (2021). Recursive Subspace-aided Frequency Estimator Based on the Propagator Method. In Proceedings - 2021 22nd IEEE International Conference on Industrial Technology, ICIT 2021 (pp. 925-930). Article 9453613 (Proceedings of the IEEE International Conference on Industrial Technology; Vol. 2021-March). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIT46573.2021.9453613

@inproceedings{d5d42935e0944c178b7c3a71afbbe41a,

title = "Recursive Subspace-aided Frequency Estimator Based on the Propagator Method",

abstract = "In this paper, a subspace-aided frequency estimator is developed using the subspace identification method (SIM) based on a formulated state space model. More importantly, two recursive subspace-aided frequency estimators are proposed for online frequency tracking purpose. The recursive frequency estimators are both realized based on the propagator method (PM), where one estimator updates the propagator using the recursive least squares (RLS) with forgetting factor and the other estimator updates the propagator using the sliding window technique with the forgetting factor. Finally, the performance of the proposed algorithms is demonstrated and illustrated through numerical simulations.",

author = "Kuan Li and Hao Luo and Xianling Li and Shen Yin",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 22nd IEEE International Conference on Industrial Technology, ICIT 2021 ; Conference date: 10-03-2021 Through 12-03-2021",

year = "2021",

month = mar,

day = "10",

doi = "10.1109/ICIT46573.2021.9453613",

language = "英语",

series = "Proceedings of the IEEE International Conference on Industrial Technology",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "925--930",

booktitle = "Proceedings - 2021 22nd IEEE International Conference on Industrial Technology, ICIT 2021",

address = "美国",

}

Li, K, Luo, H, Li, X & Yin, S 2021, Recursive Subspace-aided Frequency Estimator Based on the Propagator Method. in Proceedings - 2021 22nd IEEE International Conference on Industrial Technology, ICIT 2021., 9453613, Proceedings of the IEEE International Conference on Industrial Technology, vol. 2021-March, Institute of Electrical and Electronics Engineers Inc., pp. 925-930, 22nd IEEE International Conference on Industrial Technology, ICIT 2021, Valencia, Spain, 10/03/21. https://doi.org/10.1109/ICIT46573.2021.9453613

Recursive Subspace-aided Frequency Estimator Based on the Propagator Method. / Li, Kuan; Luo, Hao; Li, Xianling et al.
Proceedings - 2021 22nd IEEE International Conference on Industrial Technology, ICIT 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 925-930 9453613 (Proceedings of the IEEE International Conference on Industrial Technology; Vol. 2021-March).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Recursive Subspace-aided Frequency Estimator Based on the Propagator Method

AU - Li, Kuan

AU - Luo, Hao

AU - Li, Xianling

AU - Yin, Shen

PY - 2021/3/10

Y1 - 2021/3/10

N2 - In this paper, a subspace-aided frequency estimator is developed using the subspace identification method (SIM) based on a formulated state space model. More importantly, two recursive subspace-aided frequency estimators are proposed for online frequency tracking purpose. The recursive frequency estimators are both realized based on the propagator method (PM), where one estimator updates the propagator using the recursive least squares (RLS) with forgetting factor and the other estimator updates the propagator using the sliding window technique with the forgetting factor. Finally, the performance of the proposed algorithms is demonstrated and illustrated through numerical simulations.

AB - In this paper, a subspace-aided frequency estimator is developed using the subspace identification method (SIM) based on a formulated state space model. More importantly, two recursive subspace-aided frequency estimators are proposed for online frequency tracking purpose. The recursive frequency estimators are both realized based on the propagator method (PM), where one estimator updates the propagator using the recursive least squares (RLS) with forgetting factor and the other estimator updates the propagator using the sliding window technique with the forgetting factor. Finally, the performance of the proposed algorithms is demonstrated and illustrated through numerical simulations.

UR - https://www.scopus.com/pages/publications/85112569705

U2 - 10.1109/ICIT46573.2021.9453613

DO - 10.1109/ICIT46573.2021.9453613

M3 - 会议稿件

AN - SCOPUS:85112569705

T3 - Proceedings of the IEEE International Conference on Industrial Technology

SP - 925

EP - 930

BT - Proceedings - 2021 22nd IEEE International Conference on Industrial Technology, ICIT 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 22nd IEEE International Conference on Industrial Technology, ICIT 2021

Y2 - 10 March 2021 through 12 March 2021

ER -

Li K, Luo H, Li X, Yin S. Recursive Subspace-aided Frequency Estimator Based on the Propagator Method. In Proceedings - 2021 22nd IEEE International Conference on Industrial Technology, ICIT 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 925-930. 9453613. (Proceedings of the IEEE International Conference on Industrial Technology). doi: 10.1109/ICIT46573.2021.9453613

Recursive Subspace-aided Frequency Estimator Based on the Propagator Method

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