李清亮,张金鹏,张玉石. 海杂波测量与建模研究进展[J]. 电波科学学报,2023,38(4):559-573. DOI: 10.12265/j.cjors.2023046
      引用本文: 李清亮,张金鹏,张玉石. 海杂波测量与建模研究进展[J]. 电波科学学报,2023,38(4):559-573. DOI: 10.12265/j.cjors.2023046
      LI Q L, ZHANG J P, ZHANG Y S. Review on sea clutter measurement and modeling[J]. Chinese journal of radio science,2023,38(4):559-573. (in Chinese). DOI: 10.12265/j.cjors.2023046
      Citation: LI Q L, ZHANG J P, ZHANG Y S. Review on sea clutter measurement and modeling[J]. Chinese journal of radio science,2023,38(4):559-573. (in Chinese). DOI: 10.12265/j.cjors.2023046

      海杂波测量与建模研究进展

      Review on sea clutter measurement and modeling

      • 摘要: 海杂波作为对海雷达目标检测的重要影响因素,其特性的准确认知一直是雷达技术领域的关注热点和难点问题. 本文从海杂波测量、数据处理和特性建模三个方面,对中国电波传播研究所在海杂波系统性研究方面的进展进行综述. 结合具体试验测量系统和数据,介绍了不同平台的海杂波测量技术和数据处理方法,从传统经验建模和基于深度学习的人工智能建模两个角度,对海杂波特性建模进行了重点阐述. 最后,从测量、建模和理论研究等方面对海杂波研究未来发展方向进行了展望.

         

        Abstract: Sea clutter is an important influencing factor for sea radar target detection, and the accurate knowledge of sea clutter characteristics has been a hot and difficult issue in the field of radar technology. In the paper, we review the progress of systematic research on sea clutter from three aspects: sea clutter measurement, data processing and sea clutter modeling at the China Research Institute of Radiowave Propagation. Combing specific experimental measurement systems and data, the sea clutter measurement techniques and data processing methods of different platforms are introduced. Sea clutter modeling is highlighted in both traditional empirical modeling and deep learning-based artificial intelligence modeling. Finally, the future works of sea clutter research are prospected in terms of measurement, modeling and theoretical studies.

         

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