Switching Extensible FIR Filter Bank for Adaptive Horizon State Estimation With Application

Jung Min Pak; Choon Ki Ahn; Yuriy S. Shmaliy; Peng Shi; Myo Taeg Lim

doi:10.1109/TCST.2015.2472990

Switching Extensible FIR Filter Bank for Adaptive Horizon State Estimation With Application

Jung Min Pak, Choon Ki Ahn, Yuriy S. Shmaliy, Peng Shi, Myo Taeg Lim

Research output: Contribution to journal › Article › peer-review

78 Citations (Scopus)

Abstract

Horizon size is an important parameter that affects the estimation performance of finite impulse response (FIR) filters. In this brief, we propose a novel adaptive horizon approach that aims to adapt the horizon size at each time point. The approach suggests providing state estimation using a bank of FIR filters called the switching extensible FIR filter bank (SEFFB), which consists of several FIR filters operating using different horizon sizes. The horizon sizes and the number of FIR filters in the SEFFB are adapted to changes in system characteristics using maximum likelihood. The SEFFB is applied to target tracking using a ground moving target indicator. A significant performance improvement is demonstrated using the SEFFB in comparison with a single FIR filter using constant optimal horizon size.

Original language	English
Article number	7254160
Pages (from-to)	1052-1058
Number of pages	7
Journal	IEEE Transactions on Control Systems Technology
Volume	24
Issue number	3
DOIs	https://doi.org/10.1109/TCST.2015.2472990
Publication status	Published - 2016 May

Bibliographical note

Funding Information:
The work of J. M. Pak and M. T. Lim was supported by the General Research Program through the National Research Foundation (NRF) of Korea within the Ministry of Education under Grant NRF-2013R1A1A2008698. The work of C. K. Ahn was supported in part by NRF through the Ministry of Science, ICT, and Future Planning under Grant NRF-2014R1A1A1006101, and in part by the Human Resources Program in Energy Technology through the Korea Institute of Energy Technology Evaluation and Planning within the Ministry of Trade, Industry, and Energy, Korea, under Grant 20154030200610. The work of Y. S. Shmaliy was supported by the Royal Academy of Engineering within the Newton Research Collaboration Programme under Grant NRCP/1415/140. The work of P. Shi was supported by the National Natural Science Foundation of China under Grant 61573112, in part by the Australian Research Council under Grant DP140102180, Grant LP140100471, and Grant LE150100079, and in part by the 111 Project under Grant B12018.

Publisher Copyright:
© 1993-2012 IEEE.

Keywords

Adaptive horizon
finite impulse response (FIR) filter
state estimation
switching extensible FIR filter bank (SEFFB)

ASJC Scopus subject areas

Control and Systems Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/TCST.2015.2472990

Cite this

@article{e1f95fdb2e8243089f17b742f6dc32b5,

title = "Switching Extensible FIR Filter Bank for Adaptive Horizon State Estimation With Application",

abstract = "Horizon size is an important parameter that affects the estimation performance of finite impulse response (FIR) filters. In this brief, we propose a novel adaptive horizon approach that aims to adapt the horizon size at each time point. The approach suggests providing state estimation using a bank of FIR filters called the switching extensible FIR filter bank (SEFFB), which consists of several FIR filters operating using different horizon sizes. The horizon sizes and the number of FIR filters in the SEFFB are adapted to changes in system characteristics using maximum likelihood. The SEFFB is applied to target tracking using a ground moving target indicator. A significant performance improvement is demonstrated using the SEFFB in comparison with a single FIR filter using constant optimal horizon size.",

keywords = "Adaptive horizon, finite impulse response (FIR) filter, state estimation, switching extensible FIR filter bank (SEFFB)",

author = "Pak, {Jung Min} and Ahn, {Choon Ki} and Shmaliy, {Yuriy S.} and Peng Shi and Lim, {Myo Taeg}",

note = "Funding Information: The work of J. M. Pak and M. T. Lim was supported by the General Research Program through the National Research Foundation (NRF) of Korea within the Ministry of Education under Grant NRF-2013R1A1A2008698. The work of C. K. Ahn was supported in part by NRF through the Ministry of Science, ICT, and Future Planning under Grant NRF-2014R1A1A1006101, and in part by the Human Resources Program in Energy Technology through the Korea Institute of Energy Technology Evaluation and Planning within the Ministry of Trade, Industry, and Energy, Korea, under Grant 20154030200610. The work of Y. S. Shmaliy was supported by the Royal Academy of Engineering within the Newton Research Collaboration Programme under Grant NRCP/1415/140. The work of P. Shi was supported by the National Natural Science Foundation of China under Grant 61573112, in part by the Australian Research Council under Grant DP140102180, Grant LP140100471, and Grant LE150100079, and in part by the 111 Project under Grant B12018. Publisher Copyright: {\textcopyright} 1993-2012 IEEE.",

year = "2016",

month = may,

doi = "10.1109/TCST.2015.2472990",

language = "English",

volume = "24",

pages = "1052--1058",

journal = "IEEE Transactions on Control Systems Technology",

issn = "1063-6536",

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

number = "3",

}

TY - JOUR

T1 - Switching Extensible FIR Filter Bank for Adaptive Horizon State Estimation With Application

AU - Pak, Jung Min

AU - Ahn, Choon Ki

AU - Shmaliy, Yuriy S.

AU - Shi, Peng

AU - Lim, Myo Taeg

N1 - Funding Information: The work of J. M. Pak and M. T. Lim was supported by the General Research Program through the National Research Foundation (NRF) of Korea within the Ministry of Education under Grant NRF-2013R1A1A2008698. The work of C. K. Ahn was supported in part by NRF through the Ministry of Science, ICT, and Future Planning under Grant NRF-2014R1A1A1006101, and in part by the Human Resources Program in Energy Technology through the Korea Institute of Energy Technology Evaluation and Planning within the Ministry of Trade, Industry, and Energy, Korea, under Grant 20154030200610. The work of Y. S. Shmaliy was supported by the Royal Academy of Engineering within the Newton Research Collaboration Programme under Grant NRCP/1415/140. The work of P. Shi was supported by the National Natural Science Foundation of China under Grant 61573112, in part by the Australian Research Council under Grant DP140102180, Grant LP140100471, and Grant LE150100079, and in part by the 111 Project under Grant B12018. Publisher Copyright: © 1993-2012 IEEE.

PY - 2016/5

Y1 - 2016/5

N2 - Horizon size is an important parameter that affects the estimation performance of finite impulse response (FIR) filters. In this brief, we propose a novel adaptive horizon approach that aims to adapt the horizon size at each time point. The approach suggests providing state estimation using a bank of FIR filters called the switching extensible FIR filter bank (SEFFB), which consists of several FIR filters operating using different horizon sizes. The horizon sizes and the number of FIR filters in the SEFFB are adapted to changes in system characteristics using maximum likelihood. The SEFFB is applied to target tracking using a ground moving target indicator. A significant performance improvement is demonstrated using the SEFFB in comparison with a single FIR filter using constant optimal horizon size.

AB - Horizon size is an important parameter that affects the estimation performance of finite impulse response (FIR) filters. In this brief, we propose a novel adaptive horizon approach that aims to adapt the horizon size at each time point. The approach suggests providing state estimation using a bank of FIR filters called the switching extensible FIR filter bank (SEFFB), which consists of several FIR filters operating using different horizon sizes. The horizon sizes and the number of FIR filters in the SEFFB are adapted to changes in system characteristics using maximum likelihood. The SEFFB is applied to target tracking using a ground moving target indicator. A significant performance improvement is demonstrated using the SEFFB in comparison with a single FIR filter using constant optimal horizon size.

KW - Adaptive horizon

KW - finite impulse response (FIR) filter

KW - state estimation

KW - switching extensible FIR filter bank (SEFFB)

UR - http://www.scopus.com/inward/record.url?scp=84941345364&partnerID=8YFLogxK

U2 - 10.1109/TCST.2015.2472990

DO - 10.1109/TCST.2015.2472990

M3 - Article

AN - SCOPUS:84941345364

SN - 1063-6536

VL - 24

SP - 1052

EP - 1058

JO - IEEE Transactions on Control Systems Technology

JF - IEEE Transactions on Control Systems Technology

IS - 3

M1 - 7254160

ER -

Switching Extensible FIR Filter Bank for Adaptive Horizon State Estimation With Application

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this