Monte Carlo modelling for elastic and Raman signals in oceanic LiDAR

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.