access icon free Efficient 3DFV for improved discrimination of ballistic warhead

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.

Inspec keywords: vectors; time-frequency analysis

Other keywords: sinusoidal moment; 3D feature vector; fundamental frequency; improved discrimination; time–frequency image; ballistic warhead; efficient 3DFV

Subjects: Mathematical analysis; Algebra; Algebra, set theory, and graph theory; Algebra; Mathematical analysis; Algebra

References

    1. 1)
    2. 2)
      • 4. Svante, B., Tommy, J., Henrik, P.: ‘Target classification in perimeter projection with a micro-Doppler radar’. 2016 17th Int. Radar Symp. (IRS), Krakow, Poland, May 2016, pp. 1012.
    3. 3)
    4. 4)
    5. 5)
http://iet.metastore.ingenta.com/content/journals/10.1049/el.2018.6584
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