Novel classification algorithm for ballistic target based on HRRP frame

Persico, A. R. and Ilioudis, C. V. and Clemente, C. and Soraghan, J. J. (2019) Novel classification algorithm for ballistic target based on HRRP frame. IEEE Transactions on Aerospace and Electronic Systems. pp. 1-25. ISSN 0018-9251 (https://doi.org/10.1109/TAES.2019.2905281)

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Abstract

Nowadays the identification of ballistic missile warheads in a cloud of decoys and debris is essential for defence 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. Following, 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.

ORCID iDs

Persico, A. R. ORCID logoORCID: https://orcid.org/0000-0002-1761-598X, Ilioudis, C. V. ORCID logoORCID: https://orcid.org/0000-0002-7164-6461, Clemente, C. ORCID logoORCID: https://orcid.org/0000-0002-6665-693X and Soraghan, J. J. ORCID logoORCID: https://orcid.org/0000-0003-4418-7391;
  • Item type:Article
    ID code:67306
    Dates:
    Date
    Event
    15 March 2019
    Published
    15 March 2019
    Published Online
    14 February 2019
    Accepted
    Notes:© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
    Subjects:Technology > Electrical engineering. Electronics Nuclear engineering
    Department:Faculty of Engineering > Electronic and Electrical Engineering
    Depositing user: Pure Administrator
    Date deposited:14 Mar 2019 12:48
    Last modified:14 Nov 2024 01:13
    URI:https://strathprints.strath.ac.uk/id/eprint/67306
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