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 proceedingConference contribution book

8 Citations (Scopus)
86 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 languageEnglish
Title of host publication2015 Sensor Signal Processing for Defence (SSPD)
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages1-5
Number of pages5
ISBN (Print)9781479974436
DOIs
Publication statusPublished - 9 Sep 2015
Event5th Conference of the Sensor Signal Processing for Defence - Royal College of Physicians of Edinburgh, Edinburgh, United Kingdom
Duration: 9 Jul 201510 Jul 2015
http://www.sspd.eng.ed.ac.uk/conference-archive/2015

Conference

Conference5th Conference of the Sensor Signal Processing for Defence
Abbreviated titleSSPD 2015
CountryUnited Kingdom
CityEdinburgh
Period9/07/1510/07/15
Internet address

Keywords

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

Fingerprint Dive into the research topics of 'Micro-Doppler based recognition of ballistic targets using 2D gabor filters'. Together they form a unique fingerprint.

Cite this