Volume 11 Issue 3
Jun.  2022
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SUI Jinping, LIU Zhen, LIU Li, et al. Progress in radar emitter signal deinterleaving[J]. Journal of Radars, 2022, 11(3): 418–433. doi: 10.12000/JR21147
Citation: SUI Jinping, LIU Zhen, LIU Li, et al. Progress in radar emitter signal deinterleaving[J]. Journal of Radars, 2022, 11(3): 418–433. doi: 10.12000/JR21147
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Progress in Radar Emitter Signal Deinterleaving

DOI: 10.12000/JR21147
  • 1.

    Operational Software and Simulation Research Institute, Dalian Naval Academy, Dalian 116016, China

  • 2.

    College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China

  • 3.

    College of System Engineering, National University of Defense Technology, Changsha 410073, China

Funds:  The National Natural Science Foundation of China (62022091)
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    Abstract
  • Radar emitter signal deinterleaving is a key technology for radar signal reconnaissance and an essential part of battlefield situational awareness. This paper systematically sorts out the mainstream technology of radar emitter signal deinterleaving. It summarizes the main research progress in radar emitter signal deinterleaving from three directions: interpulse modulation characteristics-based, intrapulse modulation characteristics-based, and machine learning-based research. Particularly, this paper focuses on explaining the principle and technical characteristics of the latest deinterleaving technology, such as neural network-based and data stream clustering-based techniques. Finally, the shortcomings of the current radar emitter deinterleaving technology are summarized, and the future trend is predicted.

     

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