Monte Carlo modelling for elastic and Raman signals in oceanic LiDAR

David J. Spence; Brad R. Neimann; Helen M. Pask

doi:10.1364/OE.485647

Monte Carlo modelling for elastic and Raman signals in oceanic LiDAR

David J. Spence^*, Brad R. Neimann, Helen M. Pask

^*Corresponding author for this work

MQ Photonics Research Centre

Research output: Contribution to journal › Article › peer-review

8 Citations (Scopus)

119 Downloads (Pure)

Abstract

We investigate Raman returns in oceanic light detection and ranging (LiDAR), and explore the similarities and differences to conventional elastic returns. We show that Raman returns have much more complex behavior than elastic returns, which likely cannot be well matched by simple models, making Monte Carlo simulations essential. We investigate the correlation between the time of signal arrival and the depth of the Raman event, and find that a linear correlation only exists for judicious choice of system parameters.

Original language	English
Pages (from-to)	12339-12348
Number of pages	10
Journal	Optics Express
Volume	31
Issue number	8
DOIs	https://doi.org/10.1364/OE.485647
Publication status	Published - 10 Apr 2023

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Copyright © 2023 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement. Users may use, reuse, and build upon the article, or use the article for text or data mining, so long as such uses are for non-commercial purposes and appropriate attribution is maintained. All other rights are reserved.

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AU - Pask, Helen M.

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N2 - We investigate Raman returns in oceanic light detection and ranging (LiDAR), and explore the similarities and differences to conventional elastic returns. We show that Raman returns have much more complex behavior than elastic returns, which likely cannot be well matched by simple models, making Monte Carlo simulations essential. We investigate the correlation between the time of signal arrival and the depth of the Raman event, and find that a linear correlation only exists for judicious choice of system parameters.

AB - We investigate Raman returns in oceanic light detection and ranging (LiDAR), and explore the similarities and differences to conventional elastic returns. We show that Raman returns have much more complex behavior than elastic returns, which likely cannot be well matched by simple models, making Monte Carlo simulations essential. We investigate the correlation between the time of signal arrival and the depth of the Raman event, and find that a linear correlation only exists for judicious choice of system parameters.

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Monte Carlo modelling for elastic and Raman signals in oceanic LiDAR

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