This paper is concerned with a direct sampling method for imaging the support of a frequency-dependent source term embedded in a homogeneous and isotropic medium. The source term is given by the Fourier transform of a time-dependent source whose radiating period in the time domain is known. The time-dependent source is supposed to be stationary in the sense that its compact support does not vary along the time variable. Via a multi-frequency direct sampling method, we show that the smallest strip containing the source support and perpendicular to the observation direction can be recovered from far-field patterns at a fixed observation angle. With multiple but sparse observation directions, the shape of the convex hull of the source support can be recovered. The frequency-domain analysis performed here can be used to handle inverse time-dependent source problems. Our algorithm has low computational overhead and is robust against noise. Numerical experiments in both two and three dimensions have proved our theoretical findings.
翻译:本文涉及一种直接的取样方法,用于成像嵌入同质和异热带介质中的一个依赖频率的来源术语的支持。 源词由时间源的Fourier变换给出, 该源子在时间域中辐射期为已知。 时间源的根据应该是固定的, 因为它的紧凑支持在时间变量中不会随时间变化而变化。 通过多频直接取样方法, 我们显示, 包含源支持和与观测方向相连的最小的条纹可以在固定的观测角度从远方模式中恢复。 在多个但稀少的观测方向下, 源码支持的圆柱体形状可以被回收。 这里进行的频率- 场分析可以用来处理反向依赖时间的来源问题。 我们的算法是低计算间接, 并且对噪音具有很强性。 两个和三个层面的数值实验都证明了我们的理论结论。