Abstract
In this paper, we propose a new receding horizon finite impulse response (FIR) filter that minimizes the weighted Frobenius norm with embedded unbiasedness in discrete-time state-space. The filter, called the discrete-time weighted Frobenius norm unbiased FIR (DTWFNUF) filter, belongs to a class of maximum likelihood estimators. The Frobenius norm is introduced and minimized as a performance criterion to the filter gain matrix. It is shown that the DTWFNUF filter design problem can be cast into the optimization problem with the equality constraint and the filter gain matrix obtained by the Lagrange multiplier method. Higher robustness of the proposed filter is demonstrated in a comparison with the Kalman filter (KF) and minimum variance unbiased (MVU) FIR (MVUFIR) filter based on a numerical example of the F-404 gas turbine engine.
| Original language | English |
|---|---|
| Journal | IEEE Transactions on Circuits and Systems II: Express Briefs |
| DOIs | |
| Publication status | Accepted/In press - 2018 Feb 28 |
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Keywords
- Finite impulse response filtering
- Lagrange multiplier
- robustness.
- state estimation
ASJC Scopus subject areas
- Electrical and Electronic Engineering
Cite this
Minimum Weighted Frobenius Norm Discrete-Time FIR Filter with Embedded Unbiasedness. / You, Sung Hyun; Ahn, Choon Ki; Shmaliy, Yuriy S.; Zhao, Shunyi.
In: IEEE Transactions on Circuits and Systems II: Express Briefs, 28.02.2018.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Minimum Weighted Frobenius Norm Discrete-Time FIR Filter with Embedded Unbiasedness
AU - You, Sung Hyun
AU - Ahn, Choon Ki
AU - Shmaliy, Yuriy S.
AU - Zhao, Shunyi
PY - 2018/2/28
Y1 - 2018/2/28
N2 - In this paper, we propose a new receding horizon finite impulse response (FIR) filter that minimizes the weighted Frobenius norm with embedded unbiasedness in discrete-time state-space. The filter, called the discrete-time weighted Frobenius norm unbiased FIR (DTWFNUF) filter, belongs to a class of maximum likelihood estimators. The Frobenius norm is introduced and minimized as a performance criterion to the filter gain matrix. It is shown that the DTWFNUF filter design problem can be cast into the optimization problem with the equality constraint and the filter gain matrix obtained by the Lagrange multiplier method. Higher robustness of the proposed filter is demonstrated in a comparison with the Kalman filter (KF) and minimum variance unbiased (MVU) FIR (MVUFIR) filter based on a numerical example of the F-404 gas turbine engine.
AB - In this paper, we propose a new receding horizon finite impulse response (FIR) filter that minimizes the weighted Frobenius norm with embedded unbiasedness in discrete-time state-space. The filter, called the discrete-time weighted Frobenius norm unbiased FIR (DTWFNUF) filter, belongs to a class of maximum likelihood estimators. The Frobenius norm is introduced and minimized as a performance criterion to the filter gain matrix. It is shown that the DTWFNUF filter design problem can be cast into the optimization problem with the equality constraint and the filter gain matrix obtained by the Lagrange multiplier method. Higher robustness of the proposed filter is demonstrated in a comparison with the Kalman filter (KF) and minimum variance unbiased (MVU) FIR (MVUFIR) filter based on a numerical example of the F-404 gas turbine engine.
KW - Finite impulse response filtering
KW - Lagrange multiplier
KW - robustness.
KW - state estimation
UR - http://www.scopus.com/inward/record.url?scp=85042881286&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85042881286&partnerID=8YFLogxK
U2 - 10.1109/TCSII.2018.2810812
DO - 10.1109/TCSII.2018.2810812
M3 - Article
AN - SCOPUS:85042881286
JO - IEEE Transactions on Circuits and Systems I: Regular Papers
JF - IEEE Transactions on Circuits and Systems I: Regular Papers
SN - 1549-8328
ER -