Volume 4 Issue 6
Dec.  2015
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Article Navigation >  Journal of Radars  > 2015  >  4(6): 609-620
Feng Cun-qian, Li Jing-qing, He Si-san, Zhang Hao. Micro-Doppler Feature Extraction and Recognition Based on Netted Radar for Ballistic Targets[J]. Journal of Radars, 2015, 4(6): 609-620. doi: 10.12000/JR15084
Citation: Feng Cun-qian, Li Jing-qing, He Si-san, Zhang Hao. Micro-Doppler Feature Extraction and Recognition Based on Netted Radar for Ballistic Targets[J]. Journal of Radars, 2015, 4(6): 609-620. doi: 10.12000/JR15084
shu

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

DOI: 10.12000/JR15084
  • 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 National Natural Science Foundation of China (61372166, 61501495), The Natural Science Foundation Research Project of Shaanxi Province (2014JM8308)

  • Received Date: 2015-07-03
  • Rev Recd Date: 2015-11-17
  • Publish Date: 2015-12-28
    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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