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Radar Micro-Doppler Signature Classification using Dynamic Time Warping

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dc.contributor.authorSmith, Graeme
dc.contributor.authorWoodbridge, Karl
dc.contributor.authorBaker, Christopher
dc.date.accessioned2015-12-10T23:01:03Z
dc.date.issued2010
dc.date.updated2016-02-24T11:02:25Z
dc.description.abstractThis paper describes the first feasibility study using dynamic time warping (DTW) to classify the micro-Doppler signature (μ-DS ) for radar automatic target recognition (ATR). Real radar data has been used in the testing, and the performance of the DTW c
dc.identifier.issn0018-9251
dc.identifier.urihttp://hdl.handle.net/1885/61608
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE Inc)
dc.sourceIEEE Transactions on Aerospace and Electronic Systems
dc.subjectKeywords: ATR system; Basic theory; Classification rates; Dynamic time warping; Feasibility studies; K-nearest neighbour (k-NN); Micro-Doppler; Radar automatic target recognition; Real radar data; Target class; Automatic target recognition; Classifiers; Radar; Rada
dc.titleRadar Micro-Doppler Signature Classification using Dynamic Time Warping
dc.typeJournal article
local.bibliographicCitation.issue3
local.bibliographicCitation.lastpage1096
local.bibliographicCitation.startpage1078
local.contributor.affiliationSmith, Graeme, University College London
local.contributor.affiliationWoodbridge, Karl, University College London
local.contributor.affiliationBaker, Christopher, College of Engineering and Computer Science, ANU
local.contributor.authoruidBaker, Christopher, u4602951
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.identifier.absfor090609 - Signal Processing
local.identifier.absseo970109 - Expanding Knowledge in Engineering
local.identifier.ariespublicationu4334215xPUB624
local.identifier.citationvolume46
local.identifier.doi10.1109/TAES.2010.5545175
local.identifier.scopusID2-s2.0-77955639736
local.type.statusPublished Version

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