Passive Imaging with Ambient Noise Under Wave Speed Mismatch: Mathematical Analysis and Wave Speed Estimation
Zetao Fei, Josselin Garnier

TL;DR
This paper develops a mathematical framework for passive imaging using ambient noise, focusing on wave speed mismatch effects, and proposes a reliable wave speed estimation method applicable to both homogeneous and random media.
Contribution
It introduces a new analysis of daylight migration with wave speed mismatch and proposes a novel wave speed estimation strategy using a virtual guide star.
Findings
Maximum of the migration functional's envelope estimates true wave speed.
The virtual guide star enables effective wave speed estimation in random media.
Numerical experiments confirm the theoretical resolution analysis.
Abstract
It is known that waves generated by ambient noise sources and recorded by passive receivers can be used to image the reflectivities of an unknown medium. However, reconstructing the reflectivity of the medium from partial boundary measurements remains a challenging problem, particularly when the background wave speed is unknown. In this paper, we investigate passive correlation-based imaging in the daylight configuration, where uncontrolled noise sources illuminate the medium and only ambient fields are recorded by a sensor array. We first analyze daylight migration for a point reflector embedded in a homogeneous background. By introducing a searching wave speed into the migration functional, we derive an explicit characterization of the deterministic shift and defocusing effects induced by wave-speed mismatch. We show that the maximum of the envelope of the resulting functional…
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Taxonomy
TopicsMicrowave Imaging and Scattering Analysis · Advanced Optical Sensing Technologies · Seismic Waves and Analysis
