Efficient 3DFV for improved discrimination of ballistic warhead

I.O. Choi; J.H. Jung; K.T. Kim; L. Riggs; S.H. Kim; S.H. Park

Efficient 3DFV for improved discrimination of ballistic warhead

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Author(s): I.O. Choi¹ ; J.H. Jung³ ; K.T. Kim¹ ; L. Riggs⁴ ; S.H. Kim⁵ ; S.H. Park²
- Affiliations: 1: Department of Electrical Engineering , Pohang University of Science and Technology , Pohang, Gyeongbuk 37673 , Republic of Korea ;
  2: Department of Electronic Engineering , Pukyong National University , Busan 48513 , Republic of Korea ;
  3: Department of Mechanical Engineering , Pohang University of Science and Technology , Pohang, Gyeongbuk 37673 , Republic of Korea ;
  4: Department of Electrical Engineering , Auburn University , Auburn, AL 36830 , USA ;
  5: 3rd R&D Institute, Agency for Defence Development , Daejeon 34188 , Republic of Korea
Source: Volume 54, Issue 25, 13 December 2018, p. 1452 – 1454
DOI: 10.1049/el.2018.6584 , Print ISSN 0013-5194, Online ISSN 1350-911X

Received 17/08/2018, Published 05/11/2018

For improved discrimination of a ballistic warhead from a decoy, a simple 3D feature vector (3DFV) is proposed that is composed of the fundamental frequency, the bandwidth, and the sinusoidal moment of the time–frequency image. Compared to two existing methods, the 3DFV was more efficient and gave results that were less sensitive to noise.

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Efficient 3DFV for improved discrimination of ballistic warhead

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