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XIE Wenchong, XIONG Yuanyi, CHEN Wei, et al. Cognitive space-time adaptive processing technology for airborne radar in complex environments[J]. Journal of Radars, in press. doi: 10.12000/JR25086
Citation: XIE Wenchong, XIONG Yuanyi, CHEN Wei, et al. Cognitive space-time adaptive processing technology for airborne radar in complex environments[J]. Journal of Radars, in press. doi: 10.12000/JR25086
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Cognitive Space-time Adaptive Processing Technology for Airborne Radar in Complex Environments

DOI: 10.12000/JR25086 CSTR: 32380.14.JR25086

  • Key Laboratory of Radar Equipment Application Engineering, Wuhan Radar Academy, Wuhan 430010, China

Funds:  The National Natural Science Foundation of China (62401622)
More Information
  • Corresponding author: XIONG Yuanyi, xyyafewa@163.com
  • Received Date: 2025-05-08
  • Rev Recd Date: 2025-07-17
    • Available Online: 2025-07-23
    Abstract
  • China has one of the longest land borders in the world and features a diverse range of terrain types and a dense electromagnetic environment. Therefore, in practical applications, airborne radar faces complex environments. The efficacy of detecting airborne radar is severely deteriorated in regions with complex terrains and electromagnetic environments, limiting the ability to meet military operational requirements. Cognitive Space-Time Adaptive Processing (STAP) is an effective technical approach for addressing this problem. In this study, a cognitive STAP architecture is proposed, and based on this architecture, the database, algorithm library, cognitive STAP technology, and feedback control are introduced. Analysis of the simulated data reveals that compared to traditional STAP technology, cognitive space-time adaptive processing technology can significantly enhance the efficacy of detecting moving targets using airborne radar in complex environments.

     

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