海杂波的非广延分布模型

Nonextensive Distribution Models of Sea Clutter

传统上常使用统计模型为海杂波建模,发现虽然统计模型可以很好地拟合实际海杂波的幅度分布,但是由于它不能很好反映出海杂波的物理特性,因此获得的分布参数不能用来检测弱小目标。针对上述缺点,采用Tsallis分布模型对海杂波数据进行建模,发现Tsallis分布不仅能够很好地拟合实际海杂波数据,而且获得的分布参数可以有效检测海杂波背景下的弱小目标。最后通过对Tsallis分布中的非广延参数q进行分析,发现海杂波具有介于随机模型与混沌模型之间的幂率敏感性。

Statistical models are used to build models of sea clutter traditionally and can fit the amplitude distribution of sea clutter accurately. While statistical models can＇t reflect the physical property of sea clutter, so the parameters estimated from probability distributions are not valid for detecting small and weak targets within sea clutter. According to the disadvantages mentioned above, Tsallis distribution model was adopted to implement sea clutter modeling. Tsallis distribution can not only fit sea clutter accurately, but also the parameters estimated from it can detect small targets effectively. Finally, it finds that sea clutter has the power law sensitivity property which is intermediate between stochastic models and chaotic models by analyzing nonextensive parameter q.