Classification Of Radar Targets Using Machine Learning

RANDRIANANDRASANA Marie Emile, RANDRIAMITANTSOA Paul Auguste, RANDRIAMITANTSOA Andry Auguste

Abstract


This paper explores the use of machine learning for radar target classification. The techniques and algorithms used seek the best prediction for classification as well as the identification of certain characteristic properties of targets. A comprehensive and structured review of the application of machine learning based algorithms in radar signal processing such as Support Vector Machine (SVM), neural network is explored: (1) feature classification using VMS obtained from the test set. (2) classification of radar echoes using the neural network.


Keywords


machine learning, radar, Gradient Descent, support vector machine, neural network, classification.

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DOI: http://dx.doi.org/10.52155/ijpsat.v32.1.4224

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