Novel approach for ballistic targets classification from HRRP frame

Adriano Rosario Persico, Christos V. Ilioudis, Carmine Clemente, John Soraghan

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

3 Citations (Scopus)
104 Downloads (Pure)


Nowadays the challenge of the identification of Ballistic Missile (BM) warheads in a cloud of decoys and debris is essential for the defence system in order to optimize the use of ammunition resources avoiding to run out of all the available interceptors in vain. In this paper a novel approach for the classification of ballistic threats from the High Resolution Range Profile (HRRP) frame is presented. The algorithm is based on the computation of the inverse Radon Transform (IRT) of the HRRP frame as target signature, and on the evaluation of pseudo-Zernike moments, as final feature vector. Firstly, the algorithm is presented emphasizing the characteristics of the HRRP frame due to target micro-motions. Then, the classification results on simulated data are shown for various operational conditions.
Original languageEnglish
Title of host publication2017 IEEE Sensor Signal Processing for Defence (SSPD)
Place of PublicationPiscataway, N.J.
Number of pages5
ISBN (Electronic)9781538616635
ISBN (Print)9781538616642
Publication statusPublished - 6 Dec 2017
Event2017 Sensor Signal Processing for Defence Conference - London, United Kingdom
Duration: 6 Dec 20177 Dec 2017


Conference2017 Sensor Signal Processing for Defence Conference
Abbreviated titleSSPD
Country/TerritoryUnited Kingdom
Internet address


  • ballistics
  • inverse transforms
  • Radon transforms
  • target tracking
  • HRRP frame
  • defence system

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