KS,χ~2检验方法的K分布杂波参数估计研究

Parameter Estimation Study of K-Distribution Based on the Goodness-of-Fit Test

提出了一种基于矩估计的KS,χ2检验方法,用于对K分布杂波进行参数估计。该方法从拟合最优的角度进行参数估计,结合矩估计将二维优化转化为一维优化问题。仿真结果表明,该参数估计方法相比于二四阶矩估计方法有明显的改善,KS与分数阶矩法相比,仿真效果较好。χ2法在小v值时与分数阶矩法相当,当v增大时,性能下降。

In this paper, a goodness-of-fit test is used to estimate parameter. We analyze and compare the performance of new method—KS, χ2, and common method-of-moment by simulation. At last, the goodness-of-fit test demonstrates good performance and the validity for parameter estimation.