论文标题
增强反向散射
Reinforced Inverse Scattering
论文作者
论文摘要
逆波散射旨在使用有关对象如何散射传入波的数据来确定对象的属性。为了收集信息，传感器被放在不同的位置以彼此发送和接收波浪。传感器位置和入射波频率的选择决定了散射器特性的重建质量。本文介绍了增强学习，以开发精确成像，以决定传感器位置和波浪频率以智能的方式适应不同的散射器，从而通过有限的成像资源获得重建质量的显着改善。将提供广泛的数值结果，以证明所提出的方法比现有方法的优越性。
Inverse wave scattering aims at determining the properties of an object using data on how the object scatters incoming waves. In order to collect information, sensors are put in different locations to send and receive waves from each other. The choice of sensor positions and incident wave frequencies determines the reconstruction quality of scatterer properties. This paper introduces reinforcement learning to develop precision imaging that decides sensor positions and wave frequencies adaptive to different scatterers in an intelligent way, thus obtaining a significant improvement in reconstruction quality with limited imaging resources. Extensive numerical results will be provided to demonstrate the superiority of the proposed method over existing methods.
