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Journal of Projectiles, Rockets, Missiles and Guidance >

2015 , Vol. 35 >Issue 6: 94 - 97

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2015.06.024

BALLISIIC AND AIRDYNAMICS

Micro-motion Feature Extraction Algorithm of Ballistic Target Based on GSWD-Viterbi

  • LI Jingqing ,
  • FENG Cunqian ,
  • HE Sisan ,
  • TANG Dongli
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  • Air and Missile Defense College, Air Force Engineering University, Xi'an 710051, China

Received date: 2014-09-17

  Online published: 2025-05-28

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Abstract

Since ballistic targets have several inherent problems such as multi-component, strong noise sensitivity and great dynamic characteristics of scattering point's intensity, a new feature extraction algorithm of ballistic target was proposed. The time-frequency distribution of target was firstly analyzed by the generalized S-Wigner distribution (GSWD) based on the micro-motion models of sliding scattering center. Then, the instantaneous Doppler frequency was orderly obtained by Viterbi algorithm. Lastly, the signal of time field was rebuilt by the adverse S transform to reduce the noise, and the micro-Doppler information of the target was extracted by the sum-mean error compensation method. The result indicates that the method can get precious micro-Doppler parameters of ballistic targets and has good capability of anti-noise.

Key words： GSWD; Viterbi algorithm; ballistic target; feature extraction

Cite this article

LI Jingqing , FENG Cunqian , HE Sisan , TANG Dongli . Micro-motion Feature Extraction Algorithm of Ballistic Target Based on GSWD-Viterbi[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2015 , 35(6) : 94 -97 . DOI: 10.15892/j.cnki.djzdxb.2015.06.024

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