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

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          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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          Author and article information

          Journal
          Journal of Radars
          Chinese Academy of Sciences
          01 February 2017
          : 6
          : 1
          : 98-105
          Affiliations
          [1 ] ①(Air and Missile Defense College, Air Force Engineering University, Xi’an 710051, China)
          [2 ] 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)
          Article
          0edbe8dbdde34a019a09a03d8a23f129
          10.12000/JR15129

          This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

          Categories
          Technology (General)
          T1-995

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