Novel approach for ballistic targets classification from HRRP frame

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

doi:10.1109/SSPD.2017.8233248

Novel approach for ballistic targets classification from HRRP frame

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

Electronic And Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

5 Citations (Scopus)

139 Downloads (Pure)

Abstract

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 language	English
Title of host publication	2017 IEEE Sensor Signal Processing for Defence (SSPD)
Place of Publication	Piscataway, N.J.
Publisher	IEEE
Number of pages	5
ISBN (Electronic)	9781538616635
ISBN (Print)	9781538616642
DOIs	https://doi.org/10.1109/SSPD.2017.8233248
Publication status	Published - 6 Dec 2017
Event	2017 Sensor Signal Processing for Defence Conference - London, United Kingdom Duration: 6 Dec 2017 → 7 Dec 2017 https://signalprocessingsociety.org/blog/sspd-2017-2017-sensor-signal-processing-defence

Conference

Conference	2017 Sensor Signal Processing for Defence Conference
Abbreviated title	SSPD
Country/Territory	United Kingdom
City	London
Period	6/12/17 → 7/12/17
Internet address	https://signalprocessingsociety.org/blog/sspd-2017-2017-sensor-signal-processing-defence

Keywords

ballistics
inverse transforms
Radon transforms
target tracking
HRRP frame
defence system

Access to Document

10.1109/SSPD.2017.8233248

Persico-etal-IEEE-2017-Novel-approach-for-ballistic-targets-classification-fromAccepted author manuscript, 535 KB

Signal Processing Solutions for the Networked Battlespace
Soraghan, J. (Principal Investigator) & Weiss, S. (Co-investigator)
EPSRC (Engineering and Physical Sciences Research Council)
1/04/13 → 31/03/18
Project: Research

Cite this

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title = "Novel approach for ballistic targets classification from HRRP frame",

abstract = "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.",

keywords = "ballistics, inverse transforms, Radon transforms, target tracking, HRRP frame, defence system",

author = "Persico, {Adriano Rosario} and Ilioudis, {Christos V.} and Carmine Clemente and John Soraghan",

note = "{\textcopyright} 2017 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.; 2017 Sensor Signal Processing for Defence Conference, SSPD ; Conference date: 06-12-2017 Through 07-12-2017",

year = "2017",

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language = "English",

isbn = "9781538616642",

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T1 - Novel approach for ballistic targets classification from HRRP frame

AU - Persico, Adriano Rosario

AU - Ilioudis, Christos V.

AU - Clemente, Carmine

AU - Soraghan, John

N1 - © 2017 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.

PY - 2017/12/6

Y1 - 2017/12/6

N2 - 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.

AB - 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.

KW - ballistics

KW - inverse transforms

KW - Radon transforms

KW - target tracking

KW - HRRP frame

KW - defence system

U2 - 10.1109/SSPD.2017.8233248

DO - 10.1109/SSPD.2017.8233248

M3 - Conference contribution book

SN - 9781538616642

BT - 2017 IEEE Sensor Signal Processing for Defence (SSPD)

PB - IEEE

CY - Piscataway, N.J.

T2 - 2017 Sensor Signal Processing for Defence Conference

Y2 - 6 December 2017 through 7 December 2017

ER -

Novel approach for ballistic targets classification from HRRP frame

Abstract

Conference

Keywords

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Projects

Signal Processing Solutions for the Networked Battlespace

Cite this