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A CFAR Detection Algorithm Based on Clutter Knowledge for Cognitive Radar

LIU, Kaixuan ; LI, Yue ; WANG, Peng ; PENG, Xiaoyan ; LIAO, Hongshu ; LI, Wanchun

IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 2023/03/01, Vol.E106.A(3), pp.590-599 [Periódico revisado por pares]

The Institute of Electronics, Information and Communication Engineers

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  • Título:
    A CFAR Detection Algorithm Based on Clutter Knowledge for Cognitive Radar
  • Autor: LIU, Kaixuan ; LI, Yue ; WANG, Peng ; PENG, Xiaoyan ; LIAO, Hongshu ; LI, Wanchun
  • Assuntos: CFAR ; clutter knowledge ; cognitive radar
  • É parte de: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 2023/03/01, Vol.E106.A(3), pp.590-599
  • Descrição: Under the background of non-homogenous and dynamic time-varying clutter, the processing ability of the traditional constant false alarm rate (CFAR) detection algorithm is significantly reduced, as well as the detection performance. This paper proposes a CFAR detection algorithm based on clutter knowledge (CK-CFAR), as a new CFAR, to improve the detection performance adaptability of the radar in complex clutter background. With the acquired clutter prior knowledge, the algorithm can dynamically select parameters according to the change of background clutter and calculate the threshold. Compared with the detection algorithms such as CA-CFAR, GO-CFAR, SO-CFAR, and OS-CFAR, the simulation results show that CK-CFAR has excellent detection performance in the background of homogenous clutter and edge clutter. This algorithm can help radar adapt to the clutter with different distribution characteristics, effectively enhance radar detection in a complex environment. It is more in line with the development direction of the cognitive radar.
  • Editor: The Institute of Electronics, Information and Communication Engineers
  • Idioma: Inglês
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