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Switching extensible FIR filter bank for adaptive horizon state estimation with application

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dc.contributor.authorPak, J.
dc.contributor.authorAhn, C.
dc.contributor.authorShmaliy, Y.
dc.contributor.authorShi, P.
dc.contributor.authorLim, M.
dc.date.issued2016
dc.description.abstractHorizon 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.
dc.description.statementofresponsibilityJung Min Pak, Choon Ki Ahn, Yuriy S. Shmaliy, Peng Shi and Myo Taeg Lim
dc.identifier.citationIEEE Transactions on Control Systems Technology, 2016; 24(3):1052-1058
dc.identifier.doi10.1109/TCST.2015.2472990
dc.identifier.issn1063-6536
dc.identifier.issn1558-0865
dc.identifier.orcidShi, P. [0000-0001-6295-0405] [0000-0001-8218-586X] [0000-0002-0864-552X] [0000-0002-1358-2367] [0000-0002-5312-5435]
dc.identifier.urihttp://hdl.handle.net/2440/101358
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers
dc.relation.granthttp://purl.org/au-research/grants/arc/DP140102180
dc.relation.granthttp://purl.org/au-research/grants/arc/LP140100471
dc.relation.granthttp://purl.org/au-research/grants/arc/LE150100079
dc.rights© 2015 IEEE.
dc.source.urihttps://doi.org/10.1109/tcst.2015.2472990
dc.subjectAdaptive horizon; finite impulse response (FIR) filter; state estimation; switching extensible FIR filter bank (SEFFB)
dc.titleSwitching extensible FIR filter bank for adaptive horizon state estimation with application
dc.typeJournal article
pubs.publication-statusPublished

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