应用Alpha稳定分布对雷达杂波的辨识

Radar Clutter Recognition Using Alpha Stable Distribution

该文引入正向Alpha稳定分布辨识常见的瑞利、韦布尔、对数正态和K分布雷达杂波,以该分布模型参数表征4类雷达杂波的拖尾分布。提出了以Alpha稳定分布模型参数作为杂波分类特征的雷达杂波辨识的新方法,实现了对常见4种杂波分布的辨识。仿真结果表明,同经典的KS假设检验方法相比,该方法辨识精度高、运算量小。

In this paper, the Positive Alpha Stable （PαS） distribution is introduced to identify four traditional kinds of radar clutter, such as Rayleigh, Weibull, Log-normal and K. The tail distributions of various clutters are represented with PαS parameterization. Furthermore, a new method for recognizing such radar clutter distributions is proposed, which relies on the estimated model parameters for Alpha stable distribution. Simulation results show that the proposed new method has higher precision and less calculation burden in comparison with traditional KS testing.