拟合优度检测常被用来选择杂波分布模型，但不能解决过拟合和多模型选优的问题。提出了基于贝叶斯信息准则(BIC)的杂波模型选择方法，将混响室(RC)作为雷达杂波环境模拟器，通过改变混响室内的设置在腔体内合成电场时域起伏特性与杂波分布相同的电磁环境，利用KS检测与BIC对实测数据进行分析，结果表明BIC方法弥补了拟合优度检测存在的不足，能够从多个候选分布中选择最优分布。当混响室内模式数量不足(低频)时，会在混响室内合成符合威布尔分布的杂波环境;当混响室处于过模状态(高频)时，会在混响室内合成符合瑞利分布的杂波环境。

The goodness-of-fit test is often used to select the clutter distribution model, but it cannot solve the problems of overfitting and the multi-model optimization. In this paper, a new method based on Bayesian Information Criterion (BIC) is proposed for clutter model selection, and the Reverberation Chamber (RC) is taken as the simulator of the radar clutter environment. The electromagnetic environment with a time domain fluctuation of the electric field the same as the clutter distribution is synthesized in the cavity by changing the settings of RC. The measured data is analyzed by using KS test and BIC. The results show the BIC method makes up for the deficiency of goodness-of-fit tests, and can be used to select the optimal distribution from several candidate distributions. In under-moded (low frequency) conditions of the RC, a clutter with Weibull distribution is synthesized in the RC;in over-moded (high frequency) conditions of the RC, a clutter with Rayleigh distribution will be synthesized.