• Journal of Terahertz Science and Electronic Information Technology
  • Vol. 19, Issue 5, 916 (2021)
YANG Bin1、2, HUANG Mo1、3, WANG Changyuan1, ZHANG Yuanyuan1, and DUAN Tao1、*
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    DOI: 10.11805/tkyda2020079 Cite this Article
    YANG Bin, HUANG Mo, WANG Changyuan, ZHANG Yuanyuan, DUAN Tao. WW distribution modeling of X-band sea clutter with low grazing angle[J]. Journal of Terahertz Science and Electronic Information Technology , 2021, 19(5): 916 Copy Citation Text show less

    Abstract

    A Weibull-Weibull(WW) distribution modeling method and its statistical characteristics are studied in order to better describe the heavy tailing phenomenon that occurs in the modeling of X-band sea clutter with low grazing angles. The fitting effect of the statistical distribution model on sea clutter data is improved. Based on the measured data of X-band sea clutter, the fitting effect of WW distribution on measured sea clutter data under different sea conditions and polarizations is analyzed. The comparison with the goodness-of-fit test of statistical distribution models such as Weibull distribution, Lognormal distribution, and K distribution shows that the WW distribution can well fit sea clutter data with heavy tailing. In addition, the WW distribution can accurately describe the statistical characteristics of sea clutter in different polarization domains, and has strong statistical modeling ability for sea clutter amplitude distribution.
    YANG Bin, HUANG Mo, WANG Changyuan, ZHANG Yuanyuan, DUAN Tao. WW distribution modeling of X-band sea clutter with low grazing angle[J]. Journal of Terahertz Science and Electronic Information Technology , 2021, 19(5): 916
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