Identifying an acoustic source in a two-layered medium from multi-frequency phased or phaseless far-field patterns

TL;DR

This paper introduces a Fourier-based method for reconstructing acoustic sources in a two-layered medium using multi-frequency far-field data, with a phase retrieval technique for phaseless measurements, validated through numerical experiments.

Contribution

It develops a novel Fourier-based reconstruction approach and a phase retrieval formula for phaseless data in layered media, advancing inverse source problems.

Findings

Effective source reconstruction in layered media demonstrated

Phase retrieval algorithm successfully recovers phase information

Numerical experiments confirm method accuracy and robustness

Abstract

This paper presents a method for reconstructing an acoustic source located in a two-layered medium from multi-frequency phased or phaseless far-field patterns measured on the upper hemisphere. The interface between the two media is assumed to be flat and infinite, while the source is buried in the lower half-space. In the phased case, a Fourier method is proposed to identify the source based on far-field measurements. This method assumes that the source is compactly supported and can be represented by a sum of Fourier basis functions. By utilizing the far-field patterns at different frequencies, the Fourier coefficients of the source can be determined, allowing for its reconstruction. For the case where phase information is unavailable, a phase retrieval formula is developed to retrieve the phase information. This formula exploits the fact that the far-field patterns are related to the source through a linear operator that preserves phase information. By developing a suitable phase retrieval algorithm, the phase information can be recovered. Once the phase is retrieved, the Fourier method can be adopted to recover the source function. Numerical experiments in two and three dimensions are conducted to validate the performance of the proposed methods.