Turpin, A. , Kapitany, V., Radford, J. , Rovelli, D., Mitchell, K., Lyons, A. , Starshynov, I. and Faccio, D. (2021) 3D imaging from multipath temporal echoes. Physical Review Letters, 126(17), 174301. (doi: 10.1103/PhysRevLett.126.174301)
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Abstract
Echo location is a broad approach to imaging and sensing that includes both manmade RADAR, LIDAR, SONAR, and also animal navigation. However, full 3D information based on echo location requires some form of scanning of the scene in order to provide the spatial location of the echo origin-points. Without this spatial information, imaging objects in three-dimensional (3D) is a very challenging task as the inverse retrieval problem is strongly ill-posed. Here, we show that the temporal information encoded in the return echoes that are reflected multiple times within a scene is sufficient to faithfully render an image in 3D. Numerical modeling and an information theoretic perspective prove the concept and provide insight into the role of the multipath information. We experimentally demonstrate the concept by using both radio frequency and acoustic waves for imaging individuals moving in a closed environment.
Item Type: | Articles |
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Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Kapitany, Mr Valentin and Faccio, Professor Daniele and Starshynov, Mr Ilya and Mitchell, Mr Kevin and Radford, Jack and Lyons, Dr Ashley and Turpin, Dr Alejandro |
Authors: | Turpin, A., Kapitany, V., Radford, J., Rovelli, D., Mitchell, K., Lyons, A., Starshynov, I., and Faccio, D. |
College/School: | College of Science and Engineering > School of Computing Science College of Science and Engineering > School of Physics and Astronomy |
Journal Name: | Physical Review Letters |
Publisher: | American Physical Society |
ISSN: | 0031-9007 |
ISSN (Online): | 1079-7114 |
Copyright Holders: | Copyright © 2021 American Physical Society |
First Published: | First published in Physical Review Letters 126(17):174301 |
Publisher Policy: | Reproduced in accordance with the publisher copyright policy |
Related URLs: | |
Data DOI: | 10.5525/gla.researchdata.1102 |
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