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      Micro-Doppler Feature Extraction and Recognition Based on Netted Radar for Ballistic Targets

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          Abstract

          This study examines the complexities of using netted radar to recognize and resolve ballistic midcourse targets. The application of micro-motion feature extraction to ballistic mid-course targets is analyzed, and the current status of application and research on micro-motion feature recognition is concluded for singlefunction radar networks such as low- and high-resolution imaging radar networks. Advantages and disadvantages of these networks are discussed with respect to target recognition. Hybrid-mode radar networks combine low- and high-resolution imaging radar and provide a specific reference frequency that is the basis for ballistic target recognition. Main research trends are discussed for hybrid-mode networks that apply micromotion feature extraction to ballistic mid-course targets.

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          Author and article information

          Journal
          Journal of Radars
          Chinese Academy of Sciences
          01 December 2015
          : 4
          : 6
          : 609-620
          Affiliations
          [1 ] Air and Missile Defense College, Air Force Engineering University
          Article
          48e28f03796a44dca590662521038a5c
          10.12000/JR15084

          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

          Remote sensing, Electrical engineering

          Micro-motion feature, Imaging feature, Micro-Doppler

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