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X波段小擦地角海杂波WW分布建模
引用本文:杨 斌,黄 默,王长元,张圆圆,段 涛.X波段小擦地角海杂波WW分布建模[J].太赫兹科学与电子信息学报,2021,19(5):916-921.
作者姓名:杨 斌  黄 默  王长元  张圆圆  段 涛
作者单位:1.Institute of Microelectronics,Chinese Academy of Sciences,Beijing 100029,China;2.University of Chinese Academy of Sciences,Beijing 100049,China;1.Institute of Microelectronics,Chinese Academy of Sciences,Beijing 100029,China;3.School of Microelectronics,University of Chinese Academy of Sciences,Beijing 100049,China
基金项目:近地面探测技术重点实验室基金资助项目(TCGZ2018A001)
摘    要:为了更好地描述X波段小擦地角海杂波建模中出现的重拖尾现象,研究WW分布建模方法及其统计特性,进而改善统计分布模型对海杂波数据的拟合效果。基于X波段海杂波实测数据,分析在不同海况和极化方式下两重韦布尔(WW)分布对海杂波实测数据的拟合效果。通过其与韦布尔分布、对数正态分布、K分布等统计分布模型拟合优度检验的对比,表明WW分布可以很好地拟合具有重拖尾现象的海杂波数据。此外,WW分布能够在不同极化域内准确地描述海杂波的统计特性,具有较好的海杂波幅度分布统计建模能力。

关 键 词:海杂波  WW分布  小擦地角  拟合优度  统计建模
收稿时间:2020/3/2 0:00:00
修稿时间:2020/4/1 0:00:00

WW distribution modeling of X-band sea clutter with low grazing angle
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):916-921.
Authors:YANG Bin  HUANG Mo  WANG Changyuan  ZHANG Yuanyuan  DUAN Tao
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.
Keywords:
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