Statistical characterization of ground clutter information for radar systems is a topic that requires a detailed understanding. In this work, we characterize the ground clutter information from data captured by two Frequency Modulation (FM) based passive radar systems placed at different locations in the Czech Republic. Since the target models are statistically defined by the Swerling models, each of which is based on a particular distribution, we attempted to connect the ground clutter with some of the known distributions. The analysis is performed in three steps. The empirical distribution is fitted with some of the well-known distributions. Two different goodness-of-fit tests (named chi-squared test and Kolmogorov-Smirnov test) are performed on the obtained data by comparing the empirical distribution with the fitted distributions to determine which distribution is the best fit. The observations are analyzed and the results are considered in detail.

中文翻译：

---

调频无源雷达地面杂波的统计分析

雷达系统的地面杂波信息的统计表征是一个需要详细了解的主题。在这项工作中，我们根据位于捷克共和国不同位置的两个基于调频（FM）的无源雷达系统捕获的数据来表征地面杂波信息。由于目标模型是由Swerling模型在统计上定义的，每个模型均基于特定分布，因此我们尝试将地物杂波与某些已知分布联系起来。分析分三个步骤进行。经验分布与一些众所周知的分布拟合。通过将经验分布与拟合分布进行比较以确定哪种分布是最佳拟合，对获得的数据执行两种不同的拟合优度检验（分别称为卡方检验和Kolmogorov-Smirnov检验）。分析观察结果，并详细考虑结果。