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Radar Micro-Doppler Signature Classification using Dynamic Time Warping

Smith, GE; Woodbridge, K; Baker, CJ; (2010) Radar Micro-Doppler Signature Classification using Dynamic Time Warping. IEEE T AERO ELEC SYS , 46 (3) 1078 - 1096.

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Abstract

This paper describes the first feasibility study using dynamic time warping (DTW) to classify the micro-Doppler signature (mu-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 mu-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.

Type:Article
Title:Radar Micro-Doppler Signature Classification using Dynamic Time Warping
Keywords:WORD RECOGNITION, IDENTIFICATION
UCL classification:UCL > School of BEAMS > Faculty of Engineering Science > Electronic and Electrical Engineering

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