Radar micro-doppler signature classification using dynamic time warping

Graeme E. Smith; Karl Woodbridge; Chris J. Baker

doi:10.1109/TAES.2010.5545175

Radar micro-doppler signature classification using dynamic time warping

Graeme E. Smith, Karl Woodbridge, Chris J. Baker

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

78 Citations (Scopus)

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 classifier has been benchmarked against the conventional k-nearest neighbour (k-NN) algorithm. The basic theory behind the μ-DS is introduced, and aspects of the phenomenon that could cause difficulties for classifiers are highlighted. We explain how DTW can cope with these difficulties and achieve successful classification of three target classes. A correct classification rate exceeding 0.8 has been achieved, leading to the conclusion that this technique shows considerable promise for application in radar ATR systems.

Original language	English
Article number	5545175
Pages (from-to)	1078-1096
Number of pages	19
Journal	IEEE Transactions on Aerospace and Electronic Systems
Volume	46
Issue number	3
DOIs	https://doi.org/10.1109/TAES.2010.5545175
Publication status	Published - Jul 2010

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Radar micro-doppler signature classification using dynamic time warping

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