论文标题
可有效雷达目标表征的微分点散射模型
Differentiable Point Scattering Models for Efficient Radar Target Characterization
论文作者
论文摘要
目标表征是许多国防任务中的重要一步，通常依靠将已知的目标模型拟合到观察到的数据。根据模型复杂性，模型参数的优化在计算上可以昂贵，因此具有很好地描述数据且可以有效优化的模型至关重要。这项工作引入了一类雷达模型，这些模型可用于表示目标在高频上的雷达散射响应，同时还可以使用基于梯度的优化。
Target characterization is an important step in many defense missions, often relying on fitting a known target model to observed data. Optimization of model parameters can be computationally expensive depending on the model complexity, thus having models that both describe the data well and that can be efficiently optimized is critical. This work introduces a class of radar models that can be used to represent the radar scattering response of a target at high frequencies while also enabling the use of gradient-based optimization.
