Comparative Analysis of Diverse Approaches for Air Target Classification Based on Radar Track Data

Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 166)

Abstract

Air Target Classification in a hostile scenario will be a decisive factor for threat evaluation and weapon assignment. Stealth technology denies any high frequency based regime for such classification. It is observed that kinematics of an air target is one thing that cannot be deceived. The present study makes an attempt to ascertain an appropriate Classification algorithm. On the basis of certain significant feature vectors the classifier classifies the data set of an air target into a target class. Feature vectors are derived from the Radar Track Data using Matlab code. The work presented here aims to compare the predictability importance of features using different classification algorithms.

Keywords

Air Target Classification Feature Vectors Kinematics Predictability Importance Radar Track data 

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Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Department of Computer EngineeringDefence Institute of Advanced TechnologyPuneIndia

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