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Radar Micro-Doppler Signature Classification using Dynamic Time Warping

Date

Authors

Smith, Graeme

Woodbridge, Karl

Baker, Christopher

Publisher

Institute of Electrical and Electronics Engineers (IEEE Inc)

Abstract

This 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

Keywords

Keywords: 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

URI

http://hdl.handle.net/1885/61608

Collections

ANU Research Publications

Source

IEEE Transactions on Aerospace and Electronic Systems

Type

Journal article

DOI

10.1109/TAES.2010.5545175

Restricted until

2037-12-31

Downloads

File

Description

01_Smith_Radar_Micro-Doppler_Signature_2010.pdf (4.14 MB)

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