Ballistic Missile Warhead Recognition based on Micro-Doppler Frequency

Authors

  • Sun Hui-Xia Xidian University, Xi'an
  • Liu Zheng Xidian University, Xi'an
  • Xue Ning Xidian University, Xi'an

DOI:

https://doi.org/10.14429/dsj.58.1697

Keywords:

Spinning precession target recognition, micro-doppler, feature extraction, high-resolution time-frequencytransform, warheads, ballistic missile warhead

Abstract

To elucidate the spinning-precession signatures of ballistic warhead, the model of spinning precessionfor ballistic missile warhead is established and the mathematics of micro-Doppler signatures caused by spinning-precession is derived. Then the micro-Doppler features are analysed using high-resolution time-frequencytransform, and the model predictions match the experimental data well. Based on  different mass of warheadsand decoys, the feature, which can reflect the mass of the targets, is extracted from the time-frequency plane,proving a new method for recognising warheads and discriminating these from decoys. Finally the validityof the feature extracted in this study is verified by computer simulations even with low signal-to-noise ratio.

Defence Science Journal, 2008, 58(6), pp.705-709, DOI:http://dx.doi.org/10.14429/dsj.58.1697

Author Biographies

Sun Hui-Xia, Xidian University, Xi'an

School of Electronic Engineering, Xidian University, Xi'an

Liu Zheng, Xidian University, Xi'an

School of Electronic Engineering, Xidian University, Xi'an

Xue Ning, Xidian University, Xi'an

School of Electronic Engineering, Xidian University, Xi'an

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Published

2008-11-01

How to Cite

Hui-Xia, S., Zheng, L., & Ning, X. (2008). Ballistic Missile Warhead Recognition based on Micro-Doppler Frequency. Defence Science Journal, 58(6), 705–709. https://doi.org/10.14429/dsj.58.1697

Issue

Vol. 58 No. 6

Section

Aeronautical Systems

License

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