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.
Radar Micro-Doppler Signature Classification using Dynamic Time Warping
IEEE Transactions on Aerospace and Electronic Systems ; 46 , 3 ; 1078-1096
2010-07-01
4345069 byte
Article (Journal)
Electronic Resource
English
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