Micro-Doppler based recognition of ballistic targets using 2D gabor filters

Adriano Rosario Persico; Carmine Clemente; Christos V. Ilioudis; Domenico Gaglione; Jianlin Cao; John Soraghan

doi:10.1109/SSPD.2015.7288512

Micro-Doppler based recognition of ballistic targets using 2D gabor filters

Adriano Rosario Persico, Carmine Clemente, Christos V. Ilioudis, Domenico Gaglione, Jianlin Cao, John Soraghan

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

10 Citations (Scopus)

125 Downloads (Pure)

Abstract

The capability to recognize ballistic threats, is a critical topic due to the increasing effectiveness of resultant objects and to economical constraints. In particular the ability to distinguish between warheads and decoys is crucial in order to mitigate the number of shots per hit and to maximize the ammunition capabilities. For this reason a reliable technique to classify warheads and decoys is required. In this paper the use of the micro-Doppler signatures in conjunction with the 2-Dimensional Gabor filter is presented for this problem. The effectiveness of the proposed approach is demonstrated through the use of real data.

Original language	English
Title of host publication	2015 Sensor Signal Processing for Defence (SSPD)
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	1-5
Number of pages	5
ISBN (Print)	9781479974436
DOIs	https://doi.org/10.1109/SSPD.2015.7288512
Publication status	Published - 9 Sept 2015
Event	5th Conference of the Sensor Signal Processing for Defence - Royal College of Physicians of Edinburgh, Edinburgh, United Kingdom Duration: 9 Jul 2015 → 10 Jul 2015 http://www.sspd.eng.ed.ac.uk/conference-archive/2015

Conference

Conference	5th Conference of the Sensor Signal Processing for Defence
Abbreviated title	SSPD 2015
Country/Territory	United Kingdom
City	Edinburgh
Period	9/07/15 → 10/07/15
Internet address	http://www.sspd.eng.ed.ac.uk/conference-archive/2015

Keywords

Doppler radar
Gabor filters
ballistics
military radar
object recognition
radar imaging
radar target recognition
weapons

Access to Document

10.1109/SSPD.2015.7288512

Persico-etal-SSPD-2015-micro-doppler-based-recognition-of-ballistic-targetsAccepted author manuscript, 545 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

@inproceedings{c61555254c194f2381ac16e285a92b58,

title = "Micro-Doppler based recognition of ballistic targets using 2D gabor filters",

abstract = "The capability to recognize ballistic threats, is a critical topic due to the increasing effectiveness of resultant objects and to economical constraints. In particular the ability to distinguish between warheads and decoys is crucial in order to mitigate the number of shots per hit and to maximize the ammunition capabilities. For this reason a reliable technique to classify warheads and decoys is required. In this paper the use of the micro-Doppler signatures in conjunction with the 2-Dimensional Gabor filter is presented for this problem. The effectiveness of the proposed approach is demonstrated through the use of real data.",

keywords = "Doppler radar, Gabor filters, ballistics, military radar, object recognition, radar imaging, radar target recognition, weapons",

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

note = "(c) 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, 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 components of this work in other works.; 5th Conference of the Sensor Signal Processing for Defence , SSPD 2015 ; Conference date: 09-07-2015 Through 10-07-2015",

year = "2015",

month = sep,

day = "9",

doi = "10.1109/SSPD.2015.7288512",

language = "English",

isbn = "9781479974436",

pages = "1--5",

booktitle = "2015 Sensor Signal Processing for Defence (SSPD)",

publisher = "IEEE",

url = "http://www.sspd.eng.ed.ac.uk/conference-archive/2015",

}

Persico, AR, Clemente, C, Ilioudis, CV, Gaglione, D, Cao, J & Soraghan, J 2015, Micro-Doppler based recognition of ballistic targets using 2D gabor filters. in 2015 Sensor Signal Processing for Defence (SSPD). IEEE, Piscataway, NJ, pp. 1-5, 5th Conference of the Sensor Signal Processing for Defence , Edinburgh, United Kingdom, 9/07/15. https://doi.org/10.1109/SSPD.2015.7288512

TY - GEN

T1 - Micro-Doppler based recognition of ballistic targets using 2D gabor filters

AU - Persico, Adriano Rosario

AU - Clemente, Carmine

AU - Ilioudis, Christos V.

AU - Gaglione, Domenico

AU - Cao, Jianlin

AU - Soraghan, John

N1 - (c) 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, 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 components of this work in other works.

PY - 2015/9/9

Y1 - 2015/9/9

N2 - The capability to recognize ballistic threats, is a critical topic due to the increasing effectiveness of resultant objects and to economical constraints. In particular the ability to distinguish between warheads and decoys is crucial in order to mitigate the number of shots per hit and to maximize the ammunition capabilities. For this reason a reliable technique to classify warheads and decoys is required. In this paper the use of the micro-Doppler signatures in conjunction with the 2-Dimensional Gabor filter is presented for this problem. The effectiveness of the proposed approach is demonstrated through the use of real data.

AB - The capability to recognize ballistic threats, is a critical topic due to the increasing effectiveness of resultant objects and to economical constraints. In particular the ability to distinguish between warheads and decoys is crucial in order to mitigate the number of shots per hit and to maximize the ammunition capabilities. For this reason a reliable technique to classify warheads and decoys is required. In this paper the use of the micro-Doppler signatures in conjunction with the 2-Dimensional Gabor filter is presented for this problem. The effectiveness of the proposed approach is demonstrated through the use of real data.

KW - Doppler radar

KW - Gabor filters

KW - ballistics

KW - military radar

KW - object recognition

KW - radar imaging

KW - radar target recognition

KW - weapons

U2 - 10.1109/SSPD.2015.7288512

DO - 10.1109/SSPD.2015.7288512

M3 - Conference contribution book

SN - 9781479974436

SP - 1

EP - 5

BT - 2015 Sensor Signal Processing for Defence (SSPD)

PB - IEEE

CY - Piscataway, NJ

T2 - 5th Conference of the Sensor Signal Processing for Defence

Y2 - 9 July 2015 through 10 July 2015

ER -

Micro-Doppler based recognition of ballistic targets using 2D gabor filters

Abstract

Conference

Keywords

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Projects

Signal Processing Solutions for the Networked Battlespace

Cite this