Volume 6 Issue 1
Apr.  2017
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Article Navigation >  Journal of Radars  > 2017  >  6(1): 98-105
Zhao Shuang, Lu Weihong, Feng Cunqian, Wang Yizhe. Three-Dimensional Precession Feature Extraction of Ballistic Targets Based on Narrowband Radar Network[J]. Journal of Radars, 2017, 6(1): 98-105. doi: 10.12000/JR15129
Citation: Zhao Shuang, Lu Weihong, Feng Cunqian, Wang Yizhe. Three-Dimensional Precession Feature Extraction of Ballistic Targets Based on Narrowband Radar Network[J]. Journal of Radars, 2017, 6(1): 98-105. doi: 10.12000/JR15129
shu

Three-Dimensional Precession Feature Extraction of Ballistic Targets Based on Narrowband Radar Network

doi: 10.12000/JR15129
  • ①.

    Air and Missile Defense College, Air Force Engineering University, Xi'an 710051, China

  • ②.

    Collaborative Innovation Center of Information Sensing and Understanding, Xi'an 710077, China

Funds:

The Project Supported by Natural Science Basic Research Plan in Shaanxi Province of China 2014JM8308

The National Natural Science Foundation of China 61372166

  • Received Date: 2015-12-23
  • Rev Recd Date: 2016-03-22
    • Available Online: 2016-05-09
  • Publish Date: 2017-02-28
    Abstract
  • Micro-motion is a crucial feature used in ballistic target recognition. To address the problem that single-view observations cannot extract true micro-motion parameters, we propose a novel algorithm based on the narrowband radar network to extract three-dimensional precession features. First, we construct a precession model of the cone-shaped target, and as a precondition, we consider the invisible problem of scattering centers. We then analyze in detail the micro-Doppler modulation trait caused by the precession. Then, we match each scattering center in different perspectives based on the ratio of the top scattering center's micro-Doppler frequency modulation coefficient and extract the 3D coning vector of the target by establishing associated multi-aspect equation systems. In addition, we estimate feature parameters by utilizing the correlation of the micro-Doppler frequency modulation coefficient of the three scattering centers combined with the frequency compensation method. We then calculate the coordinates of the conical point in each moment and reconstruct the 3D spatial portion. Finally, we provide simulation results to validate the proposed algorithm.

     

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