# Ambient noise correlation-based imaging with moving sensors

## TL;DR

This paper explores passive imaging using ambient noise with moving sensors, addressing Doppler effects and reciprocity issues to improve resolution through tailored imaging functions based on sensor trajectories.

## Contribution

It introduces methods to account for Doppler and reciprocity effects in passive imaging with moving sensors, enhancing resolution capabilities.

## Key findings

- Doppler effects significantly impact imaging resolution.
- Properly designed imaging functions can mitigate motion-induced distortions.
- Sensor trajectory and velocity are critical factors in imaging quality.

## Abstract

Waves can be used to probe and image an unknown medium. Passive imaging uses ambient noise sources to illuminate the medium. This paper considers passive imaging with moving sensors. The motivation is to generate large synthetic apertures, which should result in enhanced resolution. However Doppler effects and lack of reciprocity significantly affect the imaging process. This paper discusses the consequences in terms of resolution and it shows how to design appropriate imaging functions depending on the sensor trajectory and velocity.