In this paper, we present an expectation-maximization (EM) initialization method for estimation of unknown parameters in a radar noise model. We deal with radar based terrain referenced navigation (TRN) over vegetated areas, where the radar noise was modeled as a double-mode Gaussian mixture with two unknowns. The known parameters are used for EM initialization along with innovation samples. Through TRN simulation, it is shown that the proposed EM initialization method outperforms random or k-means initialization methods in terms of both the parameter estimation error and the vehicle position error.

中文翻译：

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使用新的电磁初始化方法估计地形参考导航雷达噪声模型的参数

在本文中，我们提出了一种用于估计雷达噪声模型中未知参数的期望最大化 (EM) 初始化方法。我们处理植被区域上基于雷达的地形参考导航 (TRN)，其中雷达噪声被建模为具有两个未知数的双模高斯混合。已知参数与创新样本一起用于 EM 初始化。通过 TRN 仿真，表明所提出的 EM 初始化方法在参数估计误差和车辆位置误差方面均优于随机或 k 均值初始化方法。