Smith, GE and Woodbridge, K and 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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