Radar Clutter Recognition Using Alpha Stable Distribution
应用Alpha稳定分布对雷达杂波的辨识

In this paper, the Positive Alpha Stable 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 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.