Comparison of Ensemble Kalman Filter, Unscented Kalman Filter, and Fractional Kalman Filter for estimating the concentration of CO and NO 2

S. E. Prakosa; D. D. Lestari; R. Dianawati; E. Apriliani; D. K. Arif; I. Herisman; M. S. Akbar

doi:10.1088/1742-6596/1821/1/012052

Comparison of Ensemble Kalman Filter, Unscented Kalman Filter, and Fractional Kalman Filter for estimating the concentration of CO and NO ₂

S. E. Prakosa^*, D. D. Lestari, R. Dianawati, E. Apriliani, D. K. Arif, I. Herisman, M. S. Akbar

^*Corresponding author for this work

Institut Teknologi Sepuluh Nopember

Research output: Contribution to journal › Conference article › peer-review

Abstract

Estimation distribution of air pollution is necessary to determine the level of pollution in a location so it can be used to recommend emission minimization. This research use some modification of Kalman Filter method for estimation distribution of air pollution. Three estimation methods namely Fractional Kalman Filter (FKF), Ensemble Kalman Filter (EnKF), Unscented Kalman Filter (UKF). The simulation result of three methods will be compared. Distribution of carbon monoxide and nitrogen dioxide in Surabaya was estimated using three methods. This reserach showed that Fractional Kalman Filter method is the best estimator among the others because error value is the smallest.

Original language	English
Article number	012052
Journal	Journal of Physics: Conference Series
Volume	1821
Issue number	1
DOIs	https://doi.org/10.1088/1742-6596/1821/1/012052
Publication status	Published - 29 Mar 2021
Event	6th International Conference on Mathematics: Pure, Applied and Computation, ICOMPAC 2020 - Surabaya, Virtual, Indonesia Duration: 24 Oct 2020 → …

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title = "Comparison of Ensemble Kalman Filter, Unscented Kalman Filter, and Fractional Kalman Filter for estimating the concentration of CO and NO 2",

abstract = "Estimation distribution of air pollution is necessary to determine the level of pollution in a location so it can be used to recommend emission minimization. This research use some modification of Kalman Filter method for estimation distribution of air pollution. Three estimation methods namely Fractional Kalman Filter (FKF), Ensemble Kalman Filter (EnKF), Unscented Kalman Filter (UKF). The simulation result of three methods will be compared. Distribution of carbon monoxide and nitrogen dioxide in Surabaya was estimated using three methods. This reserach showed that Fractional Kalman Filter method is the best estimator among the others because error value is the smallest.",

author = "Prakosa, {S. E.} and Lestari, {D. D.} and R. Dianawati and E. Apriliani and Arif, {D. K.} and I. Herisman and Akbar, {M. S.}",

note = "Publisher Copyright: {\textcopyright} Published under licence by IOP Publishing Ltd.; 6th International Conference on Mathematics: Pure, Applied and Computation, ICOMPAC 2020 ; Conference date: 24-10-2020",

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T1 - Comparison of Ensemble Kalman Filter, Unscented Kalman Filter, and Fractional Kalman Filter for estimating the concentration of CO and NO 2

AU - Prakosa, S. E.

AU - Lestari, D. D.

AU - Dianawati, R.

AU - Apriliani, E.

AU - Arif, D. K.

AU - Herisman, I.

AU - Akbar, M. S.

N1 - Publisher Copyright: © Published under licence by IOP Publishing Ltd.

PY - 2021/3/29

Y1 - 2021/3/29

N2 - Estimation distribution of air pollution is necessary to determine the level of pollution in a location so it can be used to recommend emission minimization. This research use some modification of Kalman Filter method for estimation distribution of air pollution. Three estimation methods namely Fractional Kalman Filter (FKF), Ensemble Kalman Filter (EnKF), Unscented Kalman Filter (UKF). The simulation result of three methods will be compared. Distribution of carbon monoxide and nitrogen dioxide in Surabaya was estimated using three methods. This reserach showed that Fractional Kalman Filter method is the best estimator among the others because error value is the smallest.

AB - Estimation distribution of air pollution is necessary to determine the level of pollution in a location so it can be used to recommend emission minimization. This research use some modification of Kalman Filter method for estimation distribution of air pollution. Three estimation methods namely Fractional Kalman Filter (FKF), Ensemble Kalman Filter (EnKF), Unscented Kalman Filter (UKF). The simulation result of three methods will be compared. Distribution of carbon monoxide and nitrogen dioxide in Surabaya was estimated using three methods. This reserach showed that Fractional Kalman Filter method is the best estimator among the others because error value is the smallest.

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U2 - 10.1088/1742-6596/1821/1/012052

DO - 10.1088/1742-6596/1821/1/012052

M3 - Conference article

AN - SCOPUS:85103879078

SN - 1742-6588

VL - 1821

JO - Journal of Physics: Conference Series

JF - Journal of Physics: Conference Series

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T2 - 6th International Conference on Mathematics: Pure, Applied and Computation, ICOMPAC 2020

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Comparison of Ensemble Kalman Filter, Unscented Kalman Filter, and Fractional Kalman Filter for estimating the concentration of CO and NO ₂

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