We consider the problem of estimating the elevation angle in the presence of multipath. The proposed method belongs to the class of maximum-likelihood-like estimators and employs a modified specular reflection model that accounts for the uncertainty of the steering vector by assuming that they are subject to unknown deterministic perturbations with bounded norms. The analysis, performed using convex optimization methods, allows us to obtain computationally efficient implementations of the approach. Real-world results and computer simulations confirm the improved behavior of the proposed robustified estimators.

中文翻译：

---

使用镜面多​​径模型的雷达仰角的稳健估计器

我们考虑在存在多径的情况下估计仰角的问题。所提出的方法属于类最大似然估计器，并采用修改后的镜面反射模型，该模型通过假设导向向量受到具有有界范数的未知确定性扰动的影响来解释导向向量的不确定性。使用凸优化方法执行的分析使我们能够获得该方法的计算高效实现。真实世界的结果和计算机模拟证实了所提出的稳健估计器的改进行为。