Novel Classification Algorithm for Ballistic Target Based on HRRP Frame

Nowadays, the identification of ballistic missile warheads in a cloud of decoys and debris is essential for defense systems in order to optimize the use of ammunition resources, avoiding to run out of all the available interceptors in vain. This paper introduces a novel solution for the classificati...

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Bibliographic Details
Published in:IEEE transactions on aerospace and electronic systems 2019-12, Vol.55 (6), p.3168-3189
Main Authors: Persico, Adriano Rosario, Ilioudis, Christos V., Clemente, Carmine, Soraghan, John J.
Format: Article
Language:English
Subjects:
Algorithms
Ballistic missile defense (BMD)
Ballistic missiles
ballistic target classification
Classification
Computer simulation
Decoys
Defense programs
Doppler effect
Doppler radar
Feature extraction
high-resolution range profile (HRRP)
Interceptors
inverse Radon transform (IRT)
Missiles
pseudo-Zernike (pZ) moments
Radon
Radon transformation
Rotation
Transforms
Tumbling
Warheads
Waveforms
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Summary:Nowadays, the identification of ballistic missile warheads in a cloud of decoys and debris is essential for defense systems in order to optimize the use of ammunition resources, avoiding to run out of all the available interceptors in vain. This paper introduces a novel solution for the classification of ballistic targets based on the computation of the inverse Radon transform of the target signatures, represented by a high-resolution range profile frame acquired within an entire period of the main rotation of the target. Namely, the precession for warheads and the tumbling for decoys are taken into account. The pseudo-Zernike moments of the resulting transformation are evaluated as the final feature vector for the classifier. The extracted features guarantee robustness against target's dimensions and rotation velocity, and the initial phase of the target's motion. The classification results on simulated data are shown for different polarizations of the electromagnetic radar waveform and for various operational conditions, confirming the validity of the algorithm.
ISSN:0018-9251
1557-9603
DOI:10.1109/TAES.2019.2905281