X波段小擦地角海杂波WW分布建模

WW distribution modeling of X-band sea clutter with low grazing angle

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。

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.